Abstract:Comparison is one of the most important phenomena in language for expressing objective and subjective facts about various entities. Systems that can understand and reason over comparative structure can play a major role in the applications which require deeper understanding of language. In this paper we present a novel semantic framework for representing the meaning of comparative structures in natural language, which models comparisons as predicate-argument pairs interconnected with semantic roles. Our framew… Show more
“…The diversity and comprehensiveness of the comparison structures represented in our dataset is dependent on the genre of sentences comprising it. Earlier, we had experimented with annotating semantic structures on OntoNotes dataset (Bakhshandeh and Allen, 2015). Recently (Bakhshandeh et al, 2016), We have shifted our focus to actual product and restaurant reviews, which include many natural comparison instances.…”
Section: Data Collection Methodologymentioning
confidence: 99%
“…The details of the Extreme type can be found in the earlier work (Bakhshandeh and Allen, 2015;Bakhshandeh et al, 2016).…”
“…The diversity and comprehensiveness of the comparison structures represented in our dataset is dependent on the genre of sentences comprising it. Earlier, we had experimented with annotating semantic structures on OntoNotes dataset (Bakhshandeh and Allen, 2015). Recently (Bakhshandeh et al, 2016), We have shifted our focus to actual product and restaurant reviews, which include many natural comparison instances.…”
Section: Data Collection Methodologymentioning
confidence: 99%
“…The details of the Extreme type can be found in the earlier work (Bakhshandeh and Allen, 2015;Bakhshandeh et al, 2016).…”
“…Types are defined as '<' (smaller sign) and '>' (greater sign) in Prolog. We have gathered a list of comparative adjectives in English from curso-ingles 3 and with the help of Semantic Framework for comparison structures (Bakhshandeh and Allen, 2015), they are categorized as less type, more type, or none of them. In total, we acquired 41 comparative adjectives that are commonly used in LGPs.…”
Logic grid puzzle (LGP) is a type of word problem where the task is to solve a problem in logic. Constraints for the problem are given in the form of textual clues. Once these clues are transformed into formal logic, a deductive reasoning process provides the solution.Solving logic grid puzzles in a fully automatic manner has been a challenge since a precise understanding of clues is necessary to develop the corresponding formal logic representation. To meet this challenge, we propose a solution that uses a DistilBERT-based classifier to classify a clue into one of the predefined predicate types for logic grid puzzles. Another novelty of the proposed solution is the recognition of comparison structures in clues. By collecting comparative adjectives from existing dictionaries and utilizing a semantic framework to catch comparative quantifiers, the semantics of clues concerning comparison structures are better understood, ensuring conversion to correct logic representation. Our approach solves logic grid puzzles in a fully automated manner with 100% accuracy on the given puzzle datasets and outperforms state-of-the-art solutions by a large margin.
“…The most recent work on the computational semantics of comparison (Bakhshandeh and Allen, 2015) sets the stage for a deeper semantic representation of comparisons. Bakshandeh and Allen introduce the first computational semantic frame-work for representing the meaning of comparatives in natural language.…”
Section: Background and Related Workmentioning
confidence: 99%
“…Earlier work (Bakhshandeh and Allen, 2015) experimented with annotating semantic structures on OntoNotes dataset. We shift our focus to actual product and restaurant reviews, which inherently include many natural comparison instances.…”
Domain-independent meaning representation of text has received a renewed interest in the NLP community. Comparison plays a crucial role in shaping objective and subjective opinion and measurement in natural language, and is often expressed in complex constructions including ellipsis. In this paper, we introduce a novel framework for jointly capturing the semantic structure of comparison and ellipsis constructions. Our framework models ellipsis and comparison as interconnected predicate-argument structures, which enables automatic ellipsis resolution. We show that a structured prediction model trained on our dataset of 2,800 gold annotated review sentences yields promising results. Together with this paper we release the dataset and an annotation tool which enables two-stage expert annotation on top of tree structures.
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