Tài liệu Báo cáo khoa học: "Hierarchical Text Classification with Latent Concepts" doc

... classification with latent concepts. Experimental results show that the performance of our algorithm is com- petitive with the recently proposed hierarchi- cal classification algorithms. 1 Introduction Text ... Oregon, June 19-24, 2011. c 2011 Association for Computational Linguistics Hierarchical Text Classification with Latent Concepts Xipeng Qiu, Xuanjing Huang, Zhao Liu...

Ngày tải lên: 20/02/2014, 05:20

... Recognizing textual entailment with LCCs GROUNDHOG system. In Proceedings of the Second PASCAL Challenges Workshop. T. Joachims. 1998. Text categorization with support vector machines: Learning with ... features look at n-gram based sentence probabilities be- fore and after the edit, with and without normal- ization with respect to sentence lengths. The ratio of the two probabilit...

Ngày tải lên: 22/02/2014, 03:20

... syntactic constituents of subphrases, so it can directly learn synchronous context-free grammars (SCFG) from a parallel text without relying on any linguistic annotations or as- sumptions, which makes ... methods work with the original SCFG defined by hierarchical phrase-based model and use linguistic knowledge to assist translation. Instead, our model works under the new defined SCFG with...

Ngày tải lên: 19/02/2014, 19:20

... from a word with unknown polarity i , it moves to a node j with probability P ij after the first step. The walk con- tinues until the surfer hits a word with a known polarity. Seed words with known ... phrases are identified without consider- ing their context (Wiebe, 2000; Hatzivassiloglou and Wiebe, 2000; Banea et al., 2008). In the sec- ond category, the context of subjective text...

Ngày tải lên: 20/02/2014, 04:20

... language text, this tool is also implemented as a front-end processor and can be combined with a wide variety of applications. A morphological analyzer automatically extracts key words from text ... books or documents relevant to the text, including various kinds of dictionaries and reference works. The tools used for accessing relevant information, such as CD-ROM dictionaries,...

Ngày tải lên: 20/02/2014, 18:20

... parts of the text manipulation process and to integrate un- derlying computationally-driven text analysis with human-guided decision making within ex- ploratory data analysis over text. References ... has been little work in text data min- ing to date, and most people who have talked about it have either conflated it with informa- tion access or have not made use of text d...

Ngày tải lên: 20/02/2014, 18:20

... the text. Recognizing the structure of text is an essential task in text understanding, especially in resolving anaphora and ellipsis. One of the constituents of the text struc- ture is a text ... similarity of words in a sequence of text. The similarity of words, which represents their cohesiveness, is computed using a semantic network. Comparison with the text segments...

Ngày tải lên: 20/02/2014, 21:20

... this new text plan- ner and show how it records the information needed to engage in a dialogue. Finally, a brief comparison with other approaches to text gen- eration is presented. TEXT PLANNER ... participate in a dialogue with its users, a generation system must be capable of reasoning about its past utterances. The text plans built by our text planner provide a genera...

Ngày tải lên: 21/02/2014, 20:20

... interact with one another was indicated (Whittaker and Walker, 1991). Recently, such theoretical framework has been developed and used for annotating a corpus of audiovisual documents with the ... simple inter- face is provided that allows the user to submit a text query, with no other specifications. The results consist of a hit list with thumbnails of the video-clips related to the...

Ngày tải lên: 22/02/2014, 02:20

... In TBL, rules with different context information are used successively for solving different prob- lems. We will use the same context information for all data. The optimal context size will ... comparing the results of different context sizes on the training data. Here we will perform four steps. We will start with testing dif- fhrent context sizes of words with their part-of- s...

Ngày tải lên: 22/02/2014, 03:20