On category-cued verbal fluency tasks, such as animal naming, respondents often report exemplars in semantically related clusters. We (Sung et al., 2012) used this tendency to elucidate sources of semantic dysfunction in adults with schizophrenia (SZ). Many patients with bipolar disorder (BD) show cognitive deficits that are similar to but milder than those seen in SZ. Whether this similarity e...

The uncontrolled usage of hashtags in social media makes them vary a lot in the quality of semantics and the frequency of usage. Such variations pose a challenge to the current approaches which capitalize on either the lexical semantics of a hashtag by using metadata or the contextual semantics of a hashtag by using the texts associated with a hashtag. This thesis presents a hybrid approach to ...

To make real Web information more machine processable, this paper presents a new approach to intra-page and inter-page semantic analysis of Web pages. Our approach consists of Web pages structure analysis and semantic clustering for intra-page semantic analysis, and machine learning based link semantic analysis for inter-page analysis. Based on the automatic repetitive patterns discovery in str...

近年，動詞の意味フレーム推定タスクでは，推定対象の動詞の文脈化単語埋め込みに基づき，動詞全体で一度にクラスタリングを行う手法がいくつか提案されている．しかし，このような手法には大きく 2 つの欠点が存在する．1 つは動詞の表層的な情報を過度に考慮するため，意味の似た異なる動詞の用例をまとめづらいこと，もう 1 つは同じ動詞の用例がその動詞自身が持つ意味の異なり数以上のクラスタに分割されることである．本論文では，これらの欠点を克服するために，マスクされた単語埋め込みと 段階クラスタリングを用いた動詞の意味フレーム推定手法を提案する．FrameNet を用いた実験を通し，マスクされた単語埋め込みを活用することが動詞の表層的な情報に強く依存したクラスタの構築を抑制し，また，2 段階のクラスタリングを行うことで各動詞の用例が属するクラスタの異なり数を適正化できることを示す．

In this paper, we argue that clustering WordNet senses into more coarse-grained groupings results in higher inter-annotator agreement and increased system performance. Clustering of verb senses involves examining syntactic and semantic features of verbs and arguments on a caseby-case basis rather than applying a strict methodology. Determining appropriate criteria for clustering is based primar...

This paper presents a technique to improve the quality of Document Clustering based on Word Set Concept. The proposed Technique WDC (word set based document clustering), a clustering algorithm work with to obtain clustering of comparable quality significantly more efficiently more than the state of the art text clustering algorithm. The proposed WDC algorithms utilize the semantic relation ship...