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The word-spotting task is analogous to text-based infor- marion retrieval tasks and message-understanding tasks in that an exhaustive accounting of the input is not required: only a useful subset of …...

In this paper we present a chunk based keyphrase extraction method for scientific articles. Different from most previous sys- tems, supervised machine learning algo- rithms are not used in our …...

Generation System for Social Scientific Papers Michio Kaneko Dongli Han Graduate School of Integrated Basic Sciences Department of Information Science, Nihon University, Tokyo, JAPAN College of Humanities and Sciences m-kaneko@chs.nihon-u.ac.jp …...

We propose and assess the novel idea of using automatically induced constructions as a unit of analysis for corpus-based discourse analysis. Automated techniques are needed in order to elucidate important …...

AbstractThis paper presents a collection of annotations (tags or keywords) for a set of 2,133 environmental sounds taken from the Freesound database (www.freesound.org). The annotations are acquired through an open-ended …...

AbstractIn news aggregation systems focused on broad news domains, certain stories may appear in multiple articles. Depending on the relative importance of the story, the number of versions can reach …...

AbstractWe describe a method of calculating the similarity of questions in community QA. Question in cQA are usually very long and there are a lot of useless information about calculating …...

AbstractThis paper describes a classification system that participated in the SemEval-2018 Task 12: The Argument Reasoning Comprehension Task. Briefly the task can be described as that a natural language “argument” …...

AbstractCurrent summarization systems yield generic summaries that are disconnected from users’ preferences and expectations. To address this limitation, we present CTRLsum, a generic framework to control generated summaries through a …...

AbstractText semantic matching is a fundamental task that has been widely used in various scenarios, such as community question answering, information retrieval, and recommendation. Most state-of-the-art matching models, e.g., BERT, …...

AbstractEach utterance in multi-turn empathetic dialogues has features such as emotion, keywords, and utterance-level meaning. Feature transitions between utterances occur naturally. However, existing approaches fail to perceive the transitions because …...

AbstractParaphrase generation using deep learning has been a research hotspot of natural language processing in the past few years. While previous studies tackle the problem from different aspects, the essence …...

AbstractThe dissemination of false information on the internet has received considerable attention over the last decade. Misinformation often spreads faster than mainstream news, thus making manual fact checking inefficient or, …...

AbstractIn long document controllable summarization, where labeled data is scarce, pretrained models struggle to adapt to the task and effectively respond to user queries. In this paper, we introduce Socratic …...