A Linguistic Inspection of Textual Entailment
نویسندگان
چکیده
Recognition of textual entailment is not an easy task. In fact, early experimental evidences in [1] seems to demonstrate that even human judges often fail in reaching an agreement on the existence of entailment relation between two expressions. We aim to contribute to the theoretical and practical setting of textual entailment, through both a linguistic inspection of the textual entailment phenomenon and the description of a new promising approach to recognition, as implemented in the system we proposed at the RTE competition [2].
منابع مشابه
Contradiction-focused qualitative evaluation of textual entailment
In this paper we investigate the relation between positive and negative pairs in Textual Entailment (TE), in order to highlight the role of contradiction in TE datasets. We base our analysis on the decomposition of Text-Hypothesis pairs into monothematic pairs, i.e. pairs where only one linguistic phenomenon at a time is responsible for entailment judgment and we argue that such a deeper inspec...
متن کاملRecognizing Textual Entailment in Non-english Text via Automatic Translation into English
We show that a task that typically involves rather deep semantic processing of text—being recognizing textual entailment our case study—can be successfully solved without any tools at all specific for the language of the texts on which the task is performed. Instead, we automatically translate the text into English using a standard machine translation system, and then perform all linguistic pro...
متن کاملBuilding Textual Entailment Specialized Data Sets: a Methodology for Isolating Linguistic Phenomena Relevant to Inference
This paper proposes a methodology for the creation of specialized data sets for Textual Entailment, made of monothematic Text-Hypothesis pairs (i.e. pairs in which only one linguistic phenomenon relevant to the entailment relation is highlighted and isolated). The annotation procedure assumes that humans have knowledge about the linguistic phenomena relevant to inference, and a classification o...
متن کاملUCD IIRG Approach to the Textual Entailment Challenge
This report outlines the approach taken by members of the IIRG at University College Dublin in the PASCAL Textual Entailment Challenge 2005. Our technique measures the semantic equivalence of each text/hypothesis pair by examining both linguistic and statistical features in these sentences using a decision tree classifier.
متن کاملVisual Denotations for Recognizing Textual Entailment
In the logic approach to Recognizing Textual Entailment, identifying phrase-tophrase semantic relations is still an unsolved problem. Resources such as the Paraphrase Database offer limited coverage despite their large size whereas unsupervised distributional models of meaning often fail to recognize phrasal entailments. We propose to map phrases to their visual denotations and compare their me...
متن کامل