Systems designed to recognize textual entailment typically employ both syntax and semantics. Our goal in this paper is to explore the degree to which semantics alone can be used to accurately detect entailment so that we can gain a better understanding of this single component within an entailment system. This paper reports the knowledge-bases considered and selected for person names, locations...

Most Web-based Q/A systems work by finding pages that contain an explicit answer to a question. These systems are helpless if the answer has to be inferred from multiple sentences, possibly on different pages. To solve this problem, we introduce the HOLMES system, which utilizes textual inference (TI) over tuples extracted from text. Whereas previous work on TI (e.g., the literature on textual ...

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...

How limitations are acknowledged and discussed has a profound impact on the extent research is evaluated accepted by its intended readers. However, little attention been drawn to presentation of in EAP literature. This study seeks remedy oversight exploring how this discursive practice mediated metadiscourse, rhetorically contextualized much these rhetorical investments differ between PhD disse...