Abstract: This paper proposes a method for retrieving similar question articles from Web bulletin boards, which basically use the cosine similarity index derived from a user’s query sentence and article question sentences. Since these sentences are mostly short, it is difficult to distinguish whether article question sentences are similar to a user’s query sentence or not simply by applying the...

A major challenge of semantic parsing is the vocabulary mismatch problem between natural language and target ontology. In this paper, we propose a sentence rewriting based semantic parsing method, which can effectively resolve the mismatch problem by rewriting a sentence into a new form which has the same structure with its target logical form. Specifically, we propose two sentence-rewriting me...

This paper presents a method for automatic summarization by deleting intra-sentence discourse segments. First, each sentence is divided into elementary discourse units and, then, less informative segments are deleted. To analyze the results, we have set up an annotation campaign, thanks to which we have found interesting aspects regarding the elimination of discourse segments as an alternative ...

We are developing a spoken dialogue system that helps a computer user perform his tasks through question-answering. In this paper, we propose a method for semantic interpretation of a complex sentence connected by a conjunction, \KEDO." \KEDO" is a postpositional word, and forms an adverbial clause. First, complex sentences containing \KEDO" are extracted from an advisory dialogue database and ...

We are developing a spoken dialogue system that helps a computer user perform his tasks through question-answering. In this paper, we propose a method for semantic interpretation of a complex sentence connected by a conjunction, \KEDO." \KEDO" is a postpositional word, and forms an adverbial clause. First, complex sentences containing \KEDO" are extracted from an advisory dialogue database and ...

Example-based machine translation (EBMT) is based on a bilingual corpus. In EBMT, sentences similar to an input sentence are retrieved from a bilingual corpus and then output is generated from translations of similar sentences. Therefore, a similarity measure between the input sentence and each sentence in the bilingual corpus is important for EBMT. If some similar sentences are missed from ret...

We propose a diagnostic method for probing specific information captured in vector representations of sentence meaning, via simple classification tasks with strategically constructed sentence sets. We identify some key types of semantic information that we might expect to be captured in sentence composition, and illustrate example classification tasks for targeting this information.