recognizing named entities in tweets

... 2010. Annotating named entities in twitter data with crowd- sourcing. In CSLDAMT, pages 80–88. Jenny Rose Finkel and Christopher D. Manning. 2009. Nested named entity recognition. In EMNLP, pages 141–150. Jenny ... 2009. Annotating and recognising named entities in clinical notes. In ACL-IJCNLP, pages 18– 26. Dan Wu, Wee Sun Lee, Nan Ye, and Hai Leong Chieu. 2009. Domain adaptive bootstrapping for named en- tity ... Linguistics Recognizing Named Entities in Tweets Xiaohua Liu ‡ † , Shaodian Zhang ∗ § , Furu Wei † , Ming Zhou † ‡ School of Computer Science and Technology Harbin Institute of Technology, Harbin, 150001, China § Department...

Ngày tải lên: 17/03/2014, 00:20

... substances and findings have special affixes, which are very distinguishable from ordinary words. Lexical Features: Every token in the training data was used as a feature. Alphabetic words in the training data ... are only used once. The clinical information extraction problem is addressed in this work by applying machine learn- ing methods to a corpus annotated for clinical named entities. The data selection ... reports on the challenges involved in creating the annotation schema, and recog- nising and annotating clinical named enti- ties. The information extraction task has initially used two approaches:...

Ngày tải lên: 08/03/2014, 01:20

... use cen- tering theory (Kameyama, 1986) to determine how easily a noun phrase can be referred to in the follow- ing context. 2.2 Centering Theory Centering theory is an empirical sorting rule used ... Association of Com- putational Linguistics, pages 178–181. M. Kameyama. 1986. A property-sharing constraint in center- ing. Annual Meeting of Association of Computational Lin- guistics, pages 200–206. T. ... 2004) 3. STR-CT : STR with the centering top feature explained in Section 2.3. 4. STR-CS : STR with the centering structure fea- ture explained in Section 2.4. 3.1 Setting We used 1451 texts from Japanese...

Ngày tải lên: 17/03/2014, 04:20

Ngày tải lên: 24/03/2014, 03:20

... its inputs (including internal component mapping, initial and final NE type, NE bigram-based string, and left/right distance), without involving any related probability factors derived within ... Program) of China under Grant No. 2006AA010108-4. References Al-Onaizan, Yaser, and Kevin Knight. 2002. Translat- ing Named Entities Using Monolingual and Bilin- gual resources. In Proceedings of ... Processing. Com- putational Linguistics , 22(1):39-72, March. Chen, Hsin-His, Changhua Yang and Ying Lin. 2003. Learning Formulation and Transformation Rules for Multilingual Named Entities. In...

Ngày tải lên: 23/03/2014, 16:20

Ngày tải lên: 24/03/2014, 03:20

... from non-linguistic sources, such as pointing actions, were taken into account. The discourse entities are used in intra- and extra-sentential pronoun resolution in BBN Janus. 1 Introduction ... for generating DEs for dependent quantifiers stemming from indefinite and definite NPs which over- comes some difficulties in capturing dependencies be- tween discourse entities. In our multi-modal ... Joshi, Aravind K., Weinstein, Scott. (1983). Providing a Unified Account of Definite Noun Phrases in Discourse, Proceedings of the 21st Annual Meeting of the ACL. Cambridge, MA: ACL. Hinrichs,...

Ngày tải lên: 21/02/2014, 20:20

... part of the FBIS 2001 Multilingual corpus. Translating Named Entities Using Monolingual and Bilingual Resources Yaser Al-Onaizan and Kevin Knight Information Sciences Institute University of Southern ... becausemany are domain specific, not to be found in bilingual dictionaries. We present a novel algorithm for translating named entity phrases using easily obtain- able monolingual and bilingual resources. We ... to iden- tify all named entities in the top retrieved docu- ments for each sub-phrase. All named entities of the type of the named entity in question (e.g., PER- SON) foundin the retrieved documents...

Ngày tải lên: 08/03/2014, 07:20

... of named entities and their context 3. measuring context similarities among pairs of named entities 4. making clusters of pairs of named entities 5. labeling each cluster of pairs of named entities We ... little higher in the PER-GPE domain than in the COM-COM do- main, perhaps because there were more NE pairs with high cosine similarity in the PER-GPE do- main than in the COM-COM domain. However, ... corpora. The key idea is clustering pairs of named entities according to the similarity of con- text words intervening between the named entities. Our experiments using one year of newspapers re- veals...

Ngày tải lên: 17/03/2014, 06:20

... Although changes in pitch maxima and minima were not significant in themselves, the increases in rise slopes for CME's in contrast to flattening of rise slopes in CRE's combined to form ... J.R. Quinlan. 1992. C4.5: Programs for Ma- chine Learning. Morgan Kaufmann. B. G. Secrest and G. R. Doddington. 1993. An integrated pitch tracking algorithm for speech systems. In ICASSP ... greater. This increase in error likelihood sug- gests a change in speaking style which diverges from the recognizer's model. The remainder The field trial involved a group of nineteen subjects....

Ngày tải lên: 17/03/2014, 07:20

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Ngày tải lên: 18/02/2014, 05:20

... user specifies the beginning and ending of the character string to be recognized and translated. In Figure 3, circles on both ends of the string denote the user specified points. All the lo- cations ... translation. 1 Introduction Our world contains many signboards whose phrases provide useful information. These include destina- tions and notices in transportation facilities, names of buildings and ... user has input the end points, assumed to lie close to the centers of the end characters, the automatic location module determines the size and position of the characters in the string. Since the characters...

Ngày tải lên: 20/02/2014, 15:20

... annotate named entities in tweets and train a CRF model to evaluate the effectiveness of human labeling. Rit- ter et al. (2011) re-build the NLP pipeline for tweets beginning with POS tagging, through ... process of building, understanding, and customizing com- plex rule-based named- entity annotators for differ- ent domains. Recently, NER for Tweets attracts growing inter- est. Finin et al. (2010) ... 2010. Annotating named entities in twitter data with crowd- sourcing. In CSLDAMT, pages 80–88. Jenny Rose Finkel and Christopher D. Manning. 2009. Nested named entity recognition. In EMNLP, pages 141–150. Michel...

Ngày tải lên: 07/03/2014, 18:20

... the kinds of information in captions so that their find- ings could be used in forming rules for generating graphics with captions. Our project is instead concerned with recogniz- ing the intended ... to information graphics for individuals with sight im- pairments, by inferring the intended message under- lying the graphic, providing an initial summary of the graphic that includes the intended ... recog- nizing intention in information graphics. To appear in Proceedings of the Int’l Joint Conf. on AI (IJCAI). R. Futrelle and N. Nikolakis. 1995. Efficient analysis of complex diagrams using constraint-based...

Ngày tải lên: 08/03/2014, 04:22