acquiring and structuring semantic information from text

... MindNet: acquiring and structuring semantic information from text Stephen D. Richardson, William B. Dolan, Lucy Vanderwende Microsoft Research One Microsoft ... understanding system. We consider the methodology for creating MindNet to consist of a set of general tools for acquiring, structuring, accessing, and exploiting semantic information from NL text. ... alone. MindNet represents a general methodology for acquiring, structuring, accessing, and exploiting semantic information from natural language text. This paper provides an overview of the distinguishing...

Ngày tải lên: 17/03/2014, 07:20

Ngày tải lên: 31/03/2014, 20:20

... extracted information is the Use of information from several dictionaries. Hierarchies derived from individual dictionaries suffer from incompleteness, but it is extremely unlikely that the same information ... lexical -semantic databases demands enormous human resources, and there is a growing body of research into the possibility of automatically extracting at least a part of the required lexical and semantic ... taxonomies and various other semantic relations (for example, Amsler, 1980; Calzolari, 1984; Cbodorow, Byrd, and Heidorn, 1985; Markowitz, Ahlswede, and Evens, 1986; Byrd et al., 1987; Nakamura and...

Ngày tải lên: 24/03/2014, 05:21

Ngày tải lên: 21/06/2014, 22:20

Ngày tải lên: 28/08/2014, 01:18

... Proceedings of EACL '99 The Development of Lexical Resources for Information Extraction from Text Combining WordNet and Dewey Decimal Classification* Gabriela Cavagli~t ITC-irst Centro ... needs. First there is no clear way of extracting from them the mapping between the FL and the ontol- ogy; this is mainly due to a lack of information and cannot in general be solved; generic lexica ... tional information: a set of field labels. Field la- bels are indicators, generally used in dictionaries, which provide information about the use of the word in a semantic field. Semantic...

Ngày tải lên: 08/03/2014, 21:20

Ngày tải lên: 24/08/2013, 18:48

... keyword types and sentence types. Mining comparative entities and predicates (Task 2): Our basic idea for the second task is selecting candidates first and finding answers from the candidates ... CS-candidates in text documents, and then SVM eliminates the non-comparative sentences from the candidates. Thus, all of the sentences are divided into two classes: a comparative class and ... comparison mining. Jindal and Liu (2006a; 2006b) studied to mine comparative relations from English text documents. They used comparative and superlative POS tags, and some additional keywords....

Ngày tải lên: 20/02/2014, 04:20

... the random DA and the random DR. Denote the random DA by X and the random DR by Y . Given a text corpus, let n ij be the accumulated count that R i occurs in a sentence labeled as A j . From ... out- put sentence. Semantic information and the derivation rules of the partial sentence trees are extracted and used to model the relation- ship between the dialogue acts and the deriva- tion ... Linguistics Semantic Information and Derivation Rules for Robust Dialogue Act Detection in a Spoken Dialogue System Wei-Bin Liang 1 Chung-Hsien Wu 2 Department of Computer Science and Information...

Ngày tải lên: 20/02/2014, 05:20

... groups of unannotated texts with overlapping and non-contradictory semantics represent a valuable source of information for learning semantic repre- sentations. A simple and efficient infer- ence ... each group and discovers correspondence between lexical entries and latent semantic concepts. We consider the generative semantics -text cor- respondence model (Liang et al., 2009) and demonstrate ... provided in training (Chen and Mooney, 2008; Zettlemoyer and Collins, 2005). Nevertheless, both in training and testing the world state is observable, and the alignment and the text are conditioned...

Ngày tải lên: 07/03/2014, 22:20

... (R)ecall and (F1)- measure. The null label is NO-REL. train/test split from Table 1 and the feature sets: Syntactic The syntactic features from Section 4. Semantic The semantic features from Section ... selected the best paraphrase of and from the following options: CAUSAL and as a result, and as a consequence, and enabled by that NO-REL and independently, and for similar reasons To build ... semantic features from Section 4. All Both syntactic and semantic features. All+Tmp (Causals Only) Syntactic and semantic features, plus the gold-standard temporal label. We compared our models against...

Ngày tải lên: 08/03/2014, 01:20

... DEPLOYMENT and REGION <IRACQ presents a menu of binary predi. catas relating DEPLOYMENT and COMMANDING.OFFICER, and one relating DEPLOYMENT and UNIT. The user picks AGENT and OBJECT, ... force the use of the right hand side of the IRule which specifies the semantic 37 AN ENVIRONMENT FOR ACQUIRING SEMANTIC INFORMATION Damaris M. Ayuso, Varda Shaked, and Ralph M. Weischedel BBN ... stantial knowledge bases containing information about the syntax and semantics of words, phrases, and idioms, as well as knowledge of the domain and of discourse context. A number of systems demonstrate...

Ngày tải lên: 08/03/2014, 18:20

... senses and semantic relations are not available from the database (Vieira and Poe- sio, 2000). In recent years, increasing interest has been seen in mining semantic relations from large text corpora. ... discover and evaluate patterns, and how to exploit the patterns to obtain the semantic relatedness information. The evaluation on ACE data set shows that the pattern based semantic information ... “X and other Y” is used. Given an anaphor and a candidate antecedent, the pattern is instantiated with the two NPs and forms a query. The query is submitted to the Google search- ing engine, and...

Ngày tải lên: 17/03/2014, 04:20

... on spoken and tested on textual genres (9%) and the models trained on textual and tested on spoken genres (6%). This indicates that the accuracies that fea- ture the same mode (textual or ... essays and interviews were collected. In Phase II, blogs and chat and discussion groups were created and samples collected. For blogs, sub- jects blogged over a period of time and could read and/ or ... in- dicate basic emotional and cognitive dimensions and were used here. LIWC was designed for both text and speech and has categories, such negations, numbers, social words, and emotion. Refer to...

Ngày tải lên: 17/03/2014, 22:20

... plagiarism by exploiting lexical, syntactic and semantic features that includes duplication-gram, reordering and alignment of words, POS and phrase tags, and semantic similarity of sentences. We ... between S 1 and S 2 , then the reordering 146 7. References Salha Alzahrani, Naomie Salim, and Ajith Abraham, “Understanding Plagiarism Linguistic Patterns, Textual Features and Detection ... Zuhair A. Bandar, James D. O’ Shea, and Keeley Crockett. 2006. Sentence Similarity Based on Semantic Nets and Corpus Statistics. In Proceedings of the IEEE Transactions on Knowledge and Data...

Ngày tải lên: 23/03/2014, 14:20

... Soder- land, Matt Broadhead and Oren Etzioni. 2007. Open information extraction from the Web. In Pro- ceedings of IJCAI-2007. Danushka Bollegala, Yutaka Matsuo and Mitsuru Ishizuka. 2007. Measuring Semantic ... combinations of patterns: dependency patterns from depen- dency analysis of texts in Wikipedia, and surface patterns generated from highly re- dundant information related to the Web. Evaluations ... heterogeneous text on the Web. Therefore, we do not parse informa- tion from the Web corpus, but from well written texts. Particularly, we specifically examine unsu- pervised relation extraction from existing...

Ngày tải lên: 23/03/2014, 16:21

... distribution. The first line follows from Bayes’ rule, and the second line from the conditional independence of each keyphrase assignment x ℓ from the others, given ψ. φ d and θ k are resampled in a similar ... Thomas L. Griffiths, and Mark John- son. 2006. Contextual dependencies in unsupervised word segmentation. In Proceedings of ACL, pages 673–680. Minqing Hu and Bing Liu. 2004. Mining and summa- rizing ... 296–304. Ana-Maria Popescu, Bao Nguyen, and Oren Etzioni. 2005. OPINE: Extracting product features and opin- ions from reviews. In Proceedings of HLT/EMNLP, pages 339–346. William M. Rand. 1971. Objective criteria...

Ngày tải lên: 23/03/2014, 17:20

... Printed Text using Perplexity Measure and Conditional Random Fields," IEEE- ICASSP Hasegawa-Johnson M, Levinson S.E, 2006 "Extraction of pragmatic and semantic salience from spontaneous ... 300 text words to obtain reasonable performance (Huang and Hansen, 2007). So, these interviews are segmented into blocks of text with an average text of 300 words. Table 1 summarizes the text ... combining GMM based acoustic, and text based N-gram LM and LSA language information. In this paper, we employed LSA in combination with N-gram language models and GMM acoustic models to improve...

Ngày tải lên: 23/03/2014, 17:20

... Linguistics Extracting a Representation from Text for Semantic Analysis Rodney D. Nielsen 1,2 , Wayne Ward 1,2 , James H. Martin 1 , and Martha Palmer 1 1 Center for Computational Language and Education Research, ... fine-grained semantic rep- resentation of text and an approach to con- structing it. This representation is largely extractable by today’s technologies and facili- tates more detailed semantic analysis. ... assessment of the learner’s under- standing, indicating exactly where and in what manner the answer did not meet expectations and 2) the representation and assessment should be learnable by...

Ngày tải lên: 23/03/2014, 17:20

Ngày tải lên: 31/03/2014, 18:20