Travelled to:
1 × Australia
1 × Brazil
1 × Chile
1 × Ireland
1 × Italy
1 × Switzerland
1 × The Netherlands
1 × United Kingdom
3 × China
3 × USA
4 × Canada
Collaborated with:
Z.Ming M.Kan H.Cui K.Wang H.Amiri H.Yang R.Sun Z.Zha L.Nie J.Lin K.Sugiyama X.Hu K.Kor S.Gao W.Wu C.Lee X.Zhu X.Zhu M.Akbari K.Li M.Wang J.Ye J.Bian Y.Yang G.Cong C.Ong J.Wen Y.Chen Z.Li N.Sun C.Zhang L.Duan I.W.Tsang D.Xu S.Wang C.Koh X.Song L.Zhang Y.Hao T.Li J.Shen G.Li G.Qi J.Tang H.Zhang X.Mao H.Yan X.Li S.Li J.Guo W.Xu
Talks about:
question (8) answer (7) topic (5) use (5) approach (4) retriev (4) domain (4) relat (4) learn (4) text (4)
Person: Tat-Seng Chua
DBLP: Chua:Tat=Seng
Facilitated 2 volumes:
Contributed to:
Wrote 30 papers:
- SIGIR-2015-SongNZAC #learning #multi #network #predict #social #volunteer
- Multiple Social Network Learning and Its Application in Volunteerism Tendency Prediction (XS, LN, LZ, MA, TSC), pp. 213–222.
- CIKM-2014-MingYC #approach #re-engineering #summary #topic
- A Dynamic Reconstruction Approach to Topic Summarization of User-Generated-Content (ZM, JY, TSC), pp. 311–320.
- CIKM-2014-ZhuMHZC #social #social media #topic #using
- Customized Organization of Social Media Contents using Focused Topic Hierarchy (XZ, ZM, YH, XZ, TSC), pp. 1509–1518.
- SIGIR-2014-BianYC #microblog #network #predict
- Predicting trending messages and diffusion participants in microblogging network (JB, YY, TSC), pp. 537–546.
- SIGIR-2014-LinSKC #modelling #recommendation
- New and improved: modeling versions to improve app recommendation (JL, KS, MYK, TSC), pp. 647–656.
- SIGIR-2014-NieLASC #named
- WenZher: comprehensive vertical search for healthcare domain (LN, TL, MA, JS, TSC), pp. 1245–1246.
- SIGIR-2013-ChenALC #detection #microblog #topic
- Emerging topic detection for organizations from microblogs (YC, HA, ZL, TSC), pp. 43–52.
- SIGIR-2013-LinSKC #modelling #recommendation #twitter
- Addressing cold-start in app recommendation: latent user models constructed from twitter followers (JL, KS, MYK, TSC), pp. 283–292.
- SIGIR-2013-ZhuMZC #multi #topic
- Topic hierarchy construction for the organization of multi-source user generated contents (XZ, ZM, XZ, TSC), pp. 233–242.
- CIKM-2012-AmiriC #mining #sentiment
- Mining sentiment terminology through time (HA, TSC), pp. 2060–2064.
- CIKM-2012-MaoMZCYL #automation #topic
- Automatic labeling hierarchical topics (XM, ZM, ZJZ, TSC, HY, XL), pp. 2383–2386.
- SIGIR-2011-LiZMWCGX #comparative #comparison #using
- Product comparison using comparative relations (SL, ZJZ, ZM, MW, TSC, JG, WX), pp. 1151–1152.
- SIGIR-2011-NieWZLC #multi
- Multimedia answering: enriching text QA with media information (LN, MW, ZJZ, GL, TSC), pp. 695–704.
- CIKM-2010-MingCC
- Exploring domain-specific term weight in archived question search (ZM, TSC, GC), pp. 1605–1608.
- SIGIR-2010-MingWC #categorisation #clustering #navigation #prototype #web
- Prototype hierarchy based clustering for the categorization and navigation of web collections (ZM, KW, TSC), pp. 2–9.
- SIGIR-2010-WangMHC #effectiveness #multi #retrieval #segmentation #towards
- Segmentation of multi-sentence questions: towards effective question retrieval in cQA services (KW, ZM, XH, TSC), pp. 387–394.
- CIKM-2009-HuSZC #clustering #semantics #using
- Exploiting internal and external semantics for the clustering of short texts using world knowledge (XH, NS, CZ, TSC), pp. 919–928.
- ICML-2009-DuanTXC #adaptation #classification #multi
- Domain adaptation from multiple sources via auxiliary classifiers (LD, IWT, DX, TSC), pp. 289–296.
- ICML-2009-QiTZCZ #learning #metric #performance
- An efficient sparse metric learning in high-dimensional space via l1-penalized log-determinant regularization (GJQ, JT, ZJZ, TSC, HJZ), pp. 841–848.
- SIGIR-2009-WangMC #approach
- A syntactic tree matching approach to finding similar questions in community-based qa services (KW, ZM, TSC), pp. 187–194.
- SIGIR-2007-KorC
- Interesting nuggets and their impact on definitional question answering (KWK, TSC), pp. 335–342.
- SIGIR-2006-SunOC #dependence #mining #query #retrieval
- Mining dependency relations for query expansion in passage retrieval (RS, CHO, TSC), pp. 382–389.
- SIGIR-2005-CuiKC #modelling
- Generic soft pattern models for definitional question answering (HC, MYK, TSC), pp. 384–391.
- SIGIR-2005-CuiSLKC #dependence #retrieval #using
- Question answering passage retrieval using dependency relations (HC, RS, KL, MYK, TSC), pp. 400–407.
- SIGIR-2005-SunCLKC #dependence
- Dependency relation matching for answer selection (RS, HC, KL, MYK, TSC), pp. 651–652.
- ICML-2004-GaoWLC #approach #categorisation #learning #multi #robust
- A MFoM learning approach to robust multiclass multi-label text categorization (SG, WW, CHL, TSC).
- SIGIR-2004-YangC #classification #effectiveness #web
- Effectiveness of web page classification on finding list answers (HY, TSC), pp. 522–523.
- ECIR-2003-CuiWC #documentation #flexibility #retrieval
- Hierarchical Indexing and Flexible Element Retrieval for Structured Document (HC, JRW, TSC), pp. 73–87.
- SIGIR-2003-GaoWLC #approach #categorisation #learning
- A maximal figure-of-merit learning approach to text categorization (SG, WW, CHL, TSC), pp. 174–181.
- SIGIR-2003-YangCWK #using
- Structured use of external knowledge for event-based open domain question answering (HY, TSC, SW, CKK), pp. 33–40.