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2020 – today
- 2024
[c63]Omer Goldman, Avi Caciularu, Matan Eyal, Kris Cao, Idan Szpektor, Reut Tsarfaty:
Unpacking Tokenization: Evaluating Text Compression and its Correlation with Model Performance. ACL (Findings) 2024: 2274-2286- [c62]Uri Shaham, Jonathan Herzig, Roee Aharoni, Idan Szpektor, Reut Tsarfaty, Matan Eyal:
Multilingual Instruction Tuning With Just a Pinch of Multilinguality. ACL (Findings) 2024: 2304-2317 - [c61]João Bordalo, Vasco Ramos, Rodrigo Valerio, Diogo Glória-Silva, Yonatan Bitton, Michal Yarom, Idan Szpektor, João Magalhães:
Generating Coherent Sequences of Visual Illustrations for Real-World Manual Tasks. ACL (1) 2024: 12777-12797 - [c60]Hritik Bansal, Yonatan Bitton, Idan Szpektor, Kai-Wei Chang, Aditya Grover:
VideoCon: Robust Video-Language Alignment via Contrast Captions. CVPR 2024: 13927-13937 - [c59]Brian Gordon
, Yonatan Bitton, Yonatan Shafir, Roopal Garg, Xi Chen, Dani Lischinski, Daniel Cohen-Or, Idan Szpektor:
Mismatch Quest: Visual and Textual Feedback for Image-Text Misalignment. ECCV (57) 2024: 310-328 - [i36]Uri Shaham, Jonathan Herzig, Roee Aharoni, Idan Szpektor, Reut Tsarfaty, Matan Eyal:
Multilingual Instruction Tuning With Just a Pinch of Multilinguality. CoRR abs/2401.01854 (2024) - [i35]Omer Goldman, Avi Caciularu, Matan Eyal, Kris Cao, Idan Szpektor, Reut Tsarfaty:
Unpacking Tokenization: Evaluating Text Compression and its Correlation with Model Performance. CoRR abs/2403.06265 (2024) - [i34]Adi Simhi, Jonathan Herzig, Idan Szpektor, Yonatan Belinkov:
Constructing Benchmarks and Interventions for Combating Hallucinations in LLMs. CoRR abs/2404.09971 (2024) - [i33]Hritik Bansal, Yonatan Bitton, Michal Yarom, Idan Szpektor, Aditya Grover, Kai-Wei Chang:
TALC: Time-Aligned Captions for Multi-Scene Text-to-Video Generation. CoRR abs/2405.04682 (2024) - [i32]João Bordalo, Vasco Ramos, Rodrigo Valerio, Diogo Glória-Silva, Yonatan Bitton, Michal Yarom, Idan Szpektor, João Magalhães:
Generating Coherent Sequences of Visual Illustrations for Real-World Manual Tasks. CoRR abs/2405.10122 (2024) - [i31]Lior Shani, Aviv Rosenberg, Asaf B. Cassel, Oran Lang, Daniele Calandriello, Avital Zipori, Hila Noga, Orgad Keller, Bilal Piot, Idan Szpektor, Avinatan Hassidim, Yossi Matias, Rémi Munos:
Multi-turn Reinforcement Learning from Preference Human Feedback. CoRR abs/2405.14655 (2024) - [i30]Arie Cattan, Alon Jacovi, Alex Fabrikant, Jonathan Herzig, Roee Aharoni, Hannah Rashkin, Dror Marcus, Avinatan Hassidim, Yossi Matias, Idan Szpektor, Avi Caciularu:
Can Few-shot Work in Long-Context? Recycling the Context to Generate Demonstrations. CoRR abs/2406.13632 (2024) - [i29]Orr Zohar, Xiaohan Wang, Yonatan Bitton, Idan Szpektor, Serena Yeung-Levy:
Video-STaR: Self-Training Enables Video Instruction Tuning with Any Supervision. CoRR abs/2407.06189 (2024) - [i28]Vasco Ramos, Yonatan Bitton, Michal Yarom, Idan Szpektor, João Magalhães:
Contrastive Sequential-Diffusion Learning: An approach to Multi-Scene Instructional Video Synthesis. CoRR abs/2407.11814 (2024) - [i27]Nitzan Bitton Guetta, Aviv Slobodkin, Aviya Maimon, Eliya Habba, Royi Rassin, Yonatan Bitton, Idan Szpektor, Amir Globerson, Yuval Elovici:
Visual Riddles: a Commonsense and World Knowledge Challenge for Large Vision and Language Models. CoRR abs/2407.19474 (2024) - [i26]Maxim Ifergan, Leshem Choshen, Roee Aharoni, Idan Szpektor, Omri Abend:
Beneath the Surface of Consistency: Exploring Cross-lingual Knowledge Representation Sharing in LLMs. CoRR abs/2408.10646 (2024) - [i25]Hadas Orgad, Michael Toker, Zorik Gekhman, Roi Reichart, Idan Szpektor, Hadas Kotek, Yonatan Belinkov:
LLMs Know More Than They Show: On the Intrinsic Representation of LLM Hallucinations. CoRR abs/2410.02707 (2024) - [i24]Arie Cattan, Paul Roit, Shiyue Zhang, David Wan, Roee Aharoni, Idan Szpektor, Mohit Bansal, Ido Dagan:
Localizing Factual Inconsistencies in Attributable Text Generation. CoRR abs/2410.07473 (2024) - 2023
- [j5]Zorik Gekhman, Nadav Oved, Orgad Keller, Idan Szpektor, Roi Reichart:
On the Robustness of Dialogue History Representation in Conversational Question Answering: A Comprehensive Study and a New Prompt-based Method. Trans. Assoc. Comput. Linguistics 11: 351-366 (2023) - [c58]Paul Roit, Johan Ferret, Lior Shani, Roee Aharoni, Geoffrey Cideron, Robert Dadashi, Matthieu Geist, Sertan Girgin, Léonard Hussenot, Orgad Keller, Nikola Momchev, Sabela Ramos Garea, Piotr Stanczyk, Nino Vieillard, Olivier Bachem, Gal Elidan, Avinatan Hassidim, Olivier Pietquin, Idan Szpektor:
Factually Consistent Summarization via Reinforcement Learning with Textual Entailment Feedback. ACL (1) 2023: 6252-6272 - [c57]Matan Eyal, Hila Noga, Roee Aharoni, Idan Szpektor, Reut Tsarfaty:
Multilingual Sequence-to-Sequence Models for Hebrew NLP. ACL (Findings) 2023: 7700-7708 - [c56]Ella Neeman, Roee Aharoni, Or Honovich, Leshem Choshen, Idan Szpektor, Omri Abend:
DisentQA: Disentangling Parametric and Contextual Knowledge with Counterfactual Question Answering. ACL (1) 2023: 10056-10070 - [c55]Itay Harel, Hagai Taitelbaum, Idan Szpektor, Oren Kurland:
Sentence Retrieval for Open-Ended Dialogue Using Dual Contextual Modeling. ECIR (1) 2023: 426-440 - [c54]Zorik Gekhman, Jonathan Herzig, Roee Aharoni, Chen Elkind, Idan Szpektor:
TrueTeacher: Learning Factual Consistency Evaluation with Large Language Models. EMNLP 2023: 2053-2070 - [c53]Soravit Changpinyo, Linting Xue, Michal Yarom, Ashish V. Thapliyal, Idan Szpektor, Julien Amelot, Xi Chen, Radu Soricut:
MaXM: Towards Multilingual Visual Question Answering. EMNLP (Findings) 2023: 2667-2682 - [c52]Michal Yarom, Yonatan Bitton, Soravit Changpinyo, Roee Aharoni, Jonathan Herzig, Oran Lang, Eran Ofek, Idan Szpektor:
What You See is What You Read? Improving Text-Image Alignment Evaluation. NeurIPS 2023 - [i23]Michal Yarom, Yonatan Bitton, Soravit Changpinyo, Roee Aharoni, Jonathan Herzig, Oran Lang, Eran Ofek, Idan Szpektor:
What You See is What You Read? Improving Text-Image Alignment Evaluation. CoRR abs/2305.10400 (2023) - [i22]Zorik Gekhman, Jonathan Herzig, Roee Aharoni, Chen Elkind, Idan Szpektor:
TrueTeacher: Learning Factual Consistency Evaluation with Large Language Models. CoRR abs/2305.11171 (2023) - [i21]Rodrigo Valerio, João Bordalo, Michal Yarom, Yonatan Bitton, Idan Szpektor, João Magalhães:
Transferring Visual Attributes from Natural Language to Verified Image Generation. CoRR abs/2305.15026 (2023) - [i20]Paul Roit, Johan Ferret, Lior Shani, Roee Aharoni, Geoffrey Cideron, Robert Dadashi, Matthieu Geist, Sertan Girgin, Léonard Hussenot, Orgad Keller, Nikola Momchev, Sabela Ramos, Piotr Stanczyk, Nino Vieillard, Olivier Bachem, Gal Elidan, Avinatan Hassidim, Olivier Pietquin, Idan Szpektor:
Factually Consistent Summarization via Reinforcement Learning with Textual Entailment Feedback. CoRR abs/2306.00186 (2023) - [i19]Hritik Bansal, Yonatan Bitton, Idan Szpektor, Kai-Wei Chang, Aditya Grover:
VideoCon: Robust Video-Language Alignment via Contrast Captions. CoRR abs/2311.10111 (2023) - [i18]Brian Gordon, Yonatan Bitton, Yonatan Shafir, Roopal Garg, Xi Chen, Dani Lischinski, Daniel Cohen-Or, Idan Szpektor:
Mismatch Quest: Visual and Textual Feedback for Image-Text Misalignment. CoRR abs/2312.03766 (2023) - 2022
- [c51]Or Honovich, Roee Aharoni, Jonathan Herzig, Hagai Taitelbaum, Doron Kukliansky, Vered Cohen, Thomas Scialom, Idan Szpektor, Avinatan Hassidim, Yossi Matias:
TRUE: Re-evaluating Factual Consistency Evaluation. DialDoc@ACL 2022: 161-175 - [c50]Soravit Changpinyo, Doron Kukliansky, Idan Szpektor, Xi Chen, Nan Ding, Radu Soricut:
All You May Need for VQA are Image Captions. NAACL-HLT 2022: 1947-1963 - [c49]Or Honovich, Roee Aharoni, Jonathan Herzig, Hagai Taitelbaum, Doron Kukliansky, Vered Cohen, Thomas Scialom, Idan Szpektor, Avinatan Hassidim, Yossi Matias:
TRUE: Re-evaluating Factual Consistency Evaluation. NAACL-HLT 2022: 3905-3920 - [c48]Itay Harel, Hagai Taitelbaum, Idan Szpektor, Oren Kurland:
A Dataset for Sentence Retrieval for Open-Ended Dialogues. SIGIR 2022: 2960-2969 - [i17]Or Honovich, Roee Aharoni, Jonathan Herzig, Hagai Taitelbaum, Doron Kukliansky, Vered Cohen, Thomas Scialom, Idan Szpektor, Avinatan Hassidim, Yossi Matias:
TRUE: Re-evaluating Factual Consistency Evaluation. CoRR abs/2204.04991 (2022) - [i16]Soravit Changpinyo, Doron Kukliansky, Idan Szpektor, Xi Chen, Nan Ding, Radu Soricut:
All You May Need for VQA are Image Captions. CoRR abs/2205.01883 (2022) - [i15]Itay Harel, Hagai Taitelbaum, Idan Szpektor, Oren Kurland:
A Dataset for Sentence Retrieval for Open-Ended Dialogues. CoRR abs/2205.11685 (2022) - [i14]Zorik Gekhman, Nadav Oved, Orgad Keller, Idan Szpektor, Roi Reichart:
On the Robustness of Dialogue History Representation in Conversational Question Answering: A Comprehensive Study and a New Prompt-based Method. CoRR abs/2206.14796 (2022) - [i13]Deborah Cohen, Moonkyung Ryu, Yinlam Chow, Orgad Keller, Ido Greenberg, Avinatan Hassidim, Michael Fink, Yossi Matias, Idan Szpektor, Craig Boutilier, Gal Elidan:
Dynamic Planning in Open-Ended Dialogue using Reinforcement Learning. CoRR abs/2208.02294 (2022) - [i12]Soravit Changpinyo, Linting Xue, Idan Szpektor, Ashish V. Thapliyal, Julien Amelot, Xi Chen, Radu Soricut:
Towards Multi-Lingual Visual Question Answering. CoRR abs/2209.05401 (2022) - [i11]Ella Neeman, Roee Aharoni, Or Honovich, Leshem Choshen, Idan Szpektor, Omri Abend:
DisentQA: Disentangling Parametric and Contextual Knowledge with Counterfactual Question Answering. CoRR abs/2211.05655 (2022) - [i10]Matan Eyal, Hila Noga, Roee Aharoni, Idan Szpektor, Reut Tsarfaty:
Multilingual Sequence-to-Sequence Models for Hebrew NLP. CoRR abs/2212.09682 (2022) - 2021
- [c47]Avishai Zagoury, Einat Minkov, Idan Szpektor, William W. Cohen:
What's the Best Place for an AI Conference, Vancouver or _______: Why Completing Comparative Questions is Difficult. AAAI 2021: 14292-14300 - [c46]Or Honovich, Leshem Choshen, Roee Aharoni, Ella Neeman, Idan Szpektor, Omri Abend:
$Q^2$: Evaluating Factual Consistency in Knowledge-Grounded Dialogues via Question Generation and Question Answering. EMNLP (1) 2021: 7856-7870 - [i9]Avishai Zagoury, Einat Minkov, Idan Szpektor, William W. Cohen:
What's the best place for an AI conference, Vancouver or ______: Why completing comparative questions is difficult. CoRR abs/2104.01940 (2021) - [i8]Or Honovich, Leshem Choshen, Roee Aharoni, Ella Neeman, Idan Szpektor, Omri Abend:
Q2: Evaluating Factual Consistency in Knowledge-Grounded Dialogues via Question Generation and Question Answering. CoRR abs/2104.08202 (2021) - 2020
- [j4]Tzvika Hartman, Michael D. Howell, Jeff Dean, Shlomo Hoory, Ronit Slyper, Itay Laish, Oren Gilon, Danny Vainstein, Greg Corrado, Katherine Chou, Ming Jack Po, Jutta Williams, Scott Ellis, Gavin Bee, Avinatan Hassidim, Rony Amira, Genady Beryozkin, Idan Szpektor, Yossi Matias:
Customization scenarios for de-identification of clinical notes. BMC Medical Informatics Decis. Mak. 20(1): 14 (2020) - [c45]Eyal Ben-David, Orgad Keller, Eric Malmi, Idan Szpektor, Roi Reichart:
Semantically Driven Sentence Fusion: Modeling and Evaluation. EMNLP (Findings) 2020: 1491-1505 - [c44]Idan Szpektor, Deborah Cohen, Gal Elidan, Michael Fink, Avinatan Hassidim, Orgad Keller, Sayali Kulkarni, Eran Ofek, Sagie Pudinsky, Asaf Revach, Shimi Salant, Yossi Matias:
Dynamic Composition for Conversational Domain Exploration. WWW 2020: 872-883 - [i7]Eyal Ben-David, Orgad Keller, Eric Malmi, Idan Szpektor, Roi Reichart:
Semantically Driven Sentence Fusion: Modeling and Evaluation. CoRR abs/2010.02592 (2020)
2010 – 2019
- 2019
- [c43]Genady Beryozkin, Yoel Drori, Oren Gilon, Tzvika Hartman, Idan Szpektor:
A Joint Named-Entity Recognizer for Heterogeneous Tag-sets Using a Tag Hierarchy. ACL (1) 2019: 140-150 - [c42]Ido Cohn, Itay Laish, Genady Beryozkin, Gang Li, Izhak Shafran, Idan Szpektor, Tzvika Hartman, Avinatan Hassidim, Yossi Matias:
Audio De-identification - a New Entity Recognition Task. NAACL-HLT (2) 2019: 197-204 - [c41]Mor Geva, Eric Malmi, Idan Szpektor, Jonathan Berant:
DiscoFuse: A Large-Scale Dataset for Discourse-Based Sentence Fusion. NAACL-HLT (1) 2019: 3443-3455 - [i6]Mor Geva, Eric Malmi, Idan Szpektor, Jonathan Berant:
DiscoFuse: A Large-Scale Dataset for Discourse-based Sentence Fusion. CoRR abs/1902.10526 (2019) - [i5]Ido Cohn, Itay Laish, Genady Beryozkin, Gang Li, Izhak Shafran, Idan Szpektor, Tzvika Hartman, Avinatan Hassidim, Yossi Matias:
Audio De-identification: A New Entity Recognition Task. CoRR abs/1903.07037 (2019) - [i4]Genady Beryozkin, Yoel Drori, Oren Gilon, Tzvika Hartman, Idan Szpektor:
A Joint Named-Entity Recognizer for Heterogeneous Tag-setsUsing a Tag Hierarchy. CoRR abs/1905.09135 (2019) - 2018
- [c40]Ido Guy, Alexander Nus, Dan Pelleg, Idan Szpektor:
Care to Share?: Learning to Rank Personal Photos for Public Sharing. WSDM 2018: 207-215 - 2016
- [c39]Dan Pelleg, Oleg Rokhlenko, Idan Szpektor, Eugene Agichtein, Ido Guy:
When the Crowd is Not Enough: Improving User Experience with Social Media through Automatic Quality Analysis. CSCW 2016: 1078-1088 - [c38]Liora Braunstain, Oren Kurland, David Carmel, Idan Szpektor, Anna Shtok:
Supporting Human Answers for Advice-Seeking Questions in CQA Sites. ECIR 2016: 129-141 - [c37]Yuval Pinter, Roi Reichart, Idan Szpektor:
Syntactic Parsing of Web Queries with Question Intent. HLT-NAACL 2016: 670-680 - [c36]Adi Omari, David Carmel, Oleg Rokhlenko, Idan Szpektor:
Novelty based Ranking of Human Answers for Community Questions. SIGIR 2016: 215-224 - [c35]Boaz Petersil, Avihai Mejer, Idan Szpektor, Koby Crammer:
That's Not My Question: Learning to Weight Unmatched Terms in CQA Vertical Search. SIGIR 2016: 225-234 - [c34]Alessandro Moschitti, Lluís Màrquez, Preslav Nakov, Eugene Agichtein, Charles L. A. Clarke, Idan Szpektor:
SIGIR 2016 Workshop WebQA II: Web Question Answering Beyond Factoids. SIGIR 2016: 1251-1252 - [c33]Gilad Tsur, Yuval Pinter, Idan Szpektor, David Carmel:
Identifying Web Queries with Question Intent. WWW 2016: 783-793 - [i3]Yuval Pinter, Roi Reichart, Idan Szpektor:
The Yahoo Query Treebank, V. 1.0. CoRR abs/1605.02945 (2016) - 2015
- [j3]Idan Szpektor, Hristo Tanev, Ido Dagan, Bonaventura Coppola, Milen Kouylekov:
Unsupervised acquisition of entailment relations from the Web. Nat. Lang. Eng. 21(1): 3-47 (2015) - [c32]Eugene Agichtein, David Carmel, Charles L. A. Clarke, Praveen K. Paritosh, Dan Pelleg, Idan Szpektor:
Web Question Answering: Beyond Factoids: SIGIR 2015 Workshop. SIGIR 2015: 1143 - 2014
- [c31]Roy Bar-Haim, Ido Dagan, Idan Szpektor:
Benchmarking Applied Semantic Inference: The PASCAL Recognising Textual Entailment Challenges. Language, Culture, Computation (1) 2014: 409-424 - [c30]David Carmel, Avihai Mejer, Yuval Pinter, Idan Szpektor:
Improving Term Weighting for Community Question Answering Search Using Syntactic Analysis. CIKM 2014: 351-360 - [c29]Oren Melamud, Ido Dagan, Jacob Goldberger, Idan Szpektor, Deniz Yuret:
Probabilistic Modeling of Joint-context in Distributional Similarity. CoNLL 2014: 181-190 - 2013
- [j2]Haifeng Wang, Bill Dolan, Idan Szpektor, Shiqi Zhao:
Introduction to special section on paraphrasing. ACM Trans. Intell. Syst. Technol. 4(3): 37:1-37:2 (2013) - [c28]Oren Melamud, Ido Dagan, Jacob Goldberger, Idan Szpektor:
Using Lexical Expansion to Learn Inference Rules from Sparse Data. ACL (2) 2013: 283-288 - [c27]Oleg Rokhlenko, Idan Szpektor:
Generating Synthetic Comparable Questions for News Articles. ACL (1) 2013: 742-751 - [c26]Oren Melamud, Jonathan Berant, Ido Dagan, Jacob Goldberger, Idan Szpektor:
A Two Level Model for Context Sensitive Inference Rules. ACL (1) 2013: 1331-1340 - [c25]Gideon Dror, Yoelle Maarek, Idan Szpektor:
Will My Question Be Answered? Predicting "Question Answerability" in Community Question-Answering Sites. ECML/PKDD (3) 2013: 499-514 - [c24]Gideon Dror, Yoelle Maarek, Avihai Mejer, Idan Szpektor:
From query to question in one click: suggesting synthetic questions to searchers. WWW 2013: 391-402 - [c23]Idan Szpektor, Yoelle Maarek, Dan Pelleg:
When relevance is not enough: promoting diversity and freshnessin personalized question recommendation. WWW 2013: 1249-1260 - 2012
- [c22]Hila Weisman, Jonathan Berant, Idan Szpektor, Ido Dagan:
Learning Verb Inference Rules from Linguistically-Motivated Evidence. EMNLP-CoNLL 2012: 194-204 - [c21]Qiaoling Liu, Eugene Agichtein, Gideon Dror, Yoelle Maarek, Idan Szpektor:
When web search fails, searchers become askers: understanding the transition. SIGIR 2012: 801-810 - [c20]Anna Shtok, Gideon Dror, Yoelle Maarek, Idan Szpektor:
Learning from the past: answering new questions with past answers. WWW 2012: 759-768 - [c19]Gideon Dror, Dan Pelleg, Oleg Rokhlenko, Idan Szpektor:
Churn prediction in new users of Yahoo! answers. WWW (Companion Volume) 2012: 829-834 - 2011
- [c18]Shachar Mirkin, Ido Dagan, Lili Kotlerman, Idan Szpektor:
Classification-based Contextual Preferences. TextInfer@EMNLP 2011: 20-29 - [c17]Gideon Dror, Yehuda Koren, Yoelle Maarek, Idan Szpektor:
I want to answer; who has a question?: Yahoo! answers recommender system. KDD 2011: 1109-1117 - [c16]Qiaoling Liu, Eugene Agichtein, Gideon Dror, Evgeniy Gabrilovich, Yoelle Maarek, Dan Pelleg, Idan Szpektor:
Predicting web searcher satisfaction with existing community-based answers. SIGIR 2011: 415-424 - [c15]Idan Szpektor, Aristides Gionis, Yoelle Maarek:
Improving recommendation for long-tail queries via templates. WWW 2011: 47-56 - 2010
- [j1]Lili Kotlerman, Ido Dagan, Idan Szpektor, Maayan Zhitomirsky-Geffet:
Directional distributional similarity for lexical inference. Nat. Lang. Eng. 16(4): 359-389 (2010) - [c14]Roni Ben Aharon, Idan Szpektor, Ido Dagan:
Generating Entailment Rules from FrameNet. ACL (2) 2010: 241-246 - [c13]Mark Sammons, Idan Szpektor, V. G. Vinod Vydiswaran:
Textual Entailment. NAACL (Tutorial Abstracts) 2010: 21-24
2000 – 2009
- 2009
- [c12]Idan Szpektor, Ido Dagan:
Augmenting WordNet-based Inference with Argument Mapping. TextInfer@ACL 2009: 27-35 - [c11]Lili Kotlerman, Ido Dagan, Idan Szpektor, Maayan Zhitomirsky-Geffet:
Directional Distributional Similarity for Lexical Expansion. ACL/IJCNLP (2) 2009: 69-72 - [c10]Shachar Mirkin, Lucia Specia, Nicola Cancedda, Ido Dagan, Marc Dymetman, Idan Szpektor:
Source-Language Entailment Modeling for Translating Unknown Terms. ACL/IJCNLP 2009: 791-799 - [i2]Shachar Mirkin, Roy Bar-Haim, Ido Dagan, Eyal Shnarch, Asher Stern, Idan Szpektor, Jonathan Berant:
Addressing Discourse and Document Structure in the RTE Search Task. TAC 2009 - 2008
- [c9]Idan Szpektor, Ido Dagan, Roy Bar-Haim, Jacob Goldberger:
Contextual Preferences. ACL 2008: 683-691 - [c8]Ido Dagan, Roy Bar-Haim, Idan Szpektor, Iddo Greental, Eyal Shnarch:
Natural Language as the Basis for Meaning Representation and Inference. CICLing 2008: 151-170 - [c7]Idan Szpektor, Ido Dagan:
Learning Entailment Rules for Unary Templates. COLING 2008: 849-856 - [i1]Roy Bar-Haim, Ido Dagan, Shachar Mirkin, Eyal Shnarch, Idan Szpektor, Jonathan Berant, Iddo Greental:
Efficient Semantic Deduction and Approximate Matching over Compact Parse Forests. TAC 2008 - 2007
- [c6]Roy Bar-Haim, Ido Dagan, Iddo Greental, Idan Szpektor, Moshe Friedman:
Semantic Inference at the Lexical-Syntactic Level for Textual Entailment Recognition. ACL-PASCAL@ACL 2007: 131-136 - [c5]Idan Szpektor, Eyal Shnarch, Ido Dagan:
Instance-based Evaluation of Entailment Rule Acquisition. ACL 2007 - [c4]Idan Szpektor, Ido Dagan, Alon Lavie, Danny Shacham, Shuly Wintner:
Cross Lingual and Semantic Retrieval for Cultural Heritage Appreciation. LaTeCH@ACL 2007 2007: 65-72 - 2006
- [c3]Lorenza Romano, Milen Kouylekov, Idan Szpektor, Ido Dagan, Alberto Lavelli:
Investigating a Generic Paraphrase-Based Approach for Relation Extraction. EACL 2006 - 2005
- [c2]Roy Bar-Haim, Idan Szpektor, Oren Glickman:
Definition and Analysis of Intermediate Entailment Levels. EMSEE@ACL 2005: 55-60 - 2004
- [c1]Idan Szpektor, Hristo Tanev, Ido Dagan, Bonaventura Coppola:
Scaling Web-based Acquisition of Entailment Relations. EMNLP 2004: 41-48
Coauthor Index
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