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- Termight: Coordinating Man and Machine in Bilingual Terminology Acquisition
- A Probabilistic Setting and Lexical Cooccurrence Model for Textual Entailment
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- Natural Language Engineering 16 (4): 359389. c Cambridge University Press 2010 doi:10.1017/S1351324910000124
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- Natural Language as the Basis for Meaning Representation and Inference
- A Corpus-Independent Feature Set for Style-Based Text Categorization Moshe Koppel
- IDENTIFYING LEXICAL PARAPHRASES FROM A SINGLE CORPUS: A CASE STUDY FOR VERBS
- PROBABILISTIC TEXTUAL ENTAILMENT: GENERIC APPLIED MODELING OF LANGUAGE VARIABILITY
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- The textual entailment problem is to determine if a given text entails a given hypothesis. This paper
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- Learning Entailment Rules for Unary Templates Idan Szpektor
- A Resource for Investigating the Impact of Anaphora and Coreference on Inference
- A MemoryBased Approach to Learning Shallow Natural Language Patterns
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- Learning an Expert from Human Annotations in Statistical Machine Translation: the Case of Out-of-Vocabulary Words
- Coupled Clustering: a Method for Detecting Structural Correspondence
- Journal of Artificial Intelligence Research 11 (1999) 335--360 Submitted 8/98; published 11/99 CommitteeBased Sample Selection
- Cross-component Clustering for Template Induction Zvika Marx MARXZV@CS.BIU.AC.IL
- Investigating Unsupervised Learning for Text Categorization Bootstrapping
- Journal of Machine Learning Research 3 (2002) 747-780 Submitted: 12/01; Published: 12/02 2002 Zvika Marx, Ido Dagan, Joachim M. Buhmann and Eli Shamir
- Learning Canonical Forms of Entailment Rules Idan Szpektor
- Detecting SubTopic Correspondence through Bipartite Term Clustering
- The PASCAL Recognising Textual Entailment , Oren Glickman1
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- The Second PASCAL Recognising Textual Entailment Challenge Roy Bar-Haim
- Unsupervised and Supervised Exploitation of Semantic Domains in Lexical Disambiguation 1
- Identifying Structure across Pre-partitioned Data
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