Global ETD Search
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Showing 1 to 12 of 12 for “"textual entailment"”.
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Context Aware Textual Entailment
… based on background knowledge, a process called entailment. These assumptions may then be supported, contradicted, or refined as a conversation or story progresses and additional facts become known and context changes. It is often the case that we do not know an aspect of the story with certainty …
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Textual entailment from image caption denotations
… In particular, we explore novel approaches to entailment that capture everyday world knowledge missing from other NLP tasks, on both existing datasets and our own new dataset. We also present a novel embedding model that produces phrase representations that are informed by our grounded …
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Natural language inference : from textual entailment to conversation entailment
Thesis (Ph. D.)--Michigan State University. Department of Computer Science, 2010
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Component-Based Textual Entailment: a Modular and Linguistically-Motivated Framework for Semantic Inferences
Textual Entailment (TE) aims at capturing major semantic inference needs across applications in Natural Language Processing. Since 2005, in the TE recognition (RTE) task, systems are asked to automatically judge whether the meaning of a portion of text, the Text, entails the meaning of another …
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English complex verb constructions: identification and inference
… this MWE recognition component in the context of Textual Entailment (TE), an intricate semantic inference task that involves various levels of linguistic knowledge and logic reasoning. This dissertation develops high quality computational models for three of the most frequent kinds of English …
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Analyzing and evaluating security features in software requirements
… against annotated software project documents for textual entailment relationships (NLP), and the results are used to train a neural network model (ML) for classifying security-based requirements. Hence, this approach aims to identify the appropriate structures that underlie software requirements …
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Lexical entailment
Lexical entailment is a requirement for success in the domains of Recognizing Textual Entailment (RTE) as well as related tasks like Question-Answering and Information Extraction. Previous approaches tend to fall into two camps - those that make use of distributional models and those that make use …
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The semantics of role labeling
… that can help text understanding problems like textual entailment. In this thesis, we address the problem of assigning a shallow semantic representation to text. This problem is traditionally studied in the context of verbs and their nominalizations. We propose to extend the task to go beyond …
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Controlling the effect of crowd noisy annotations in NLP Tasks
… extract linguistic knowledge from big textual data instead of hard-coding the necessary knowledge. Such intelligent machines require input data to be prepared in such a way that the computer can more easily find patterns and inferences. This is feasible by adding relevant metadata to a …
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A Composite Syntactic-Semantic Interpretable Text Entailment Approach Exploring Commonsense Knowledge Graphs
… can be verified through inference. The textual entailment paradigm was established to enable the creation of a unifying framework for applied inference, providing a means of delivering other NLP task from handling inference issues in an ad-hoc manner, using instead the outputs of an …
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Methods for Measuring Semantic Similarity of Texts
… on both types of semantic relations. Recognising Textual Entailment (RTE) is a directional relation where a text T entails the hypothesis H (entailment pair) if the meaning of H can be inferred from the meaning of T (Dagan and Glickman, 2005; Dagan et al., 2013). Most of the RTE methods rely on …
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Cross-Domain and Cross-Language Porting of Shallow Parsing
… Noun Phrase chunking, dependency parsing, textual entailment, etc. This cross-language NLP paradigm relies on the solution of the following sub-problems: - Data-driven NLP techniques are very sensitive to the differences in training and testing conditions. Different domains, such as …