LDR | | 04524cmm u2200481Ii 4500 |
001 | | 000000321245 |
003 | | OCoLC |
005 | | 20230613110400 |
006 | | m d |
007 | | cr cnu|||unuuu |
008 | | 200108s2019 ne ob 000 0 eng d |
020 | |
▼a 9781643680439
▼q (electronic bk.) |
020 | |
▼a 1643680439
▼q (electronic bk.) |
020 | |
▼z 9781643680422 |
035 | |
▼a 2345980
▼b (N$T) |
035 | |
▼a (OCoLC)1135325170 |
040 | |
▼a N$T
▼b eng
▼e rda
▼e pn
▼c N$T
▼d EBLCP
▼d IOSPR
▼d 248032 |
049 | |
▼a MAIN |
050 | 4 |
▼a QA76.9.N38 |
082 | 04 |
▼a 006.3/5
▼2 23 |
100 | 1 |
▼a Ilievski, Filip,
▼d 1991-,
▼e author. |
245 | 10 |
▼a Identity of long-tail entities in text /
▼c Filip Ilievski.
▼h [electronic resource] |
260 | |
▼a Amsterdam, Netherlands :
▼b IOS Press,
▼c 2019. |
300 | |
▼a 1 online resource. |
336 | |
▼a text
▼b txt
▼2 rdacontent |
337 | |
▼a computer
▼b c
▼2 rdamedia |
338 | |
▼a online resource
▼b cr
▼2 rdacarrier |
490 | 1 |
▼a Studies on the semantic web ;
▼v volume 043 |
504 | |
▼a Includes bibliographical references. |
505 | 0 |
▼a Intro -- Title Page -- Contents -- Acronyms -- 1 Introduction -- 1.1 Background: Identity in the digital era -- 1.2 Challenge: Entity Linking in the long tail -- 1.3 Research questions -- 1.4 Approach and structure of the thesis -- 1.4.1 Describing and observing the head and the tail -- 1.4.2 Analyzing the evaluation bias on the long tail -- 1.4.3 Improving the evaluation bias on the long tail -- 1.4.4 Enabling access to knowledge about long-tail entities beyond DBpedia -- 1.4.5 The role of knowledge in establishing identity of long-tail entities -- 1.5 Summary of findings |
505 | 8 |
▼a 1.6 Software and data -- 2 Describing and Observing the Head and the Tail of Entity Linking -- 2.1 Introduction -- 2.2 Related work -- 2.3 Approach -- 2.3.1 The head-tail phenomena of the entity linking task -- 2.3.2 Hypotheses on the head-tail phenomena of the entity linking task -- 2.3.3 Datasets and systems -- 2.3.4 Evaluation -- 2.4 Analysis of data properties -- 2.4.1 Frequency distribution of forms and instances in datasets -- 2.4.2 PageRank distribution of instances in datasets -- 2.4.3 Ambiguity distribution of forms -- 2.4.4 Variance distribution of instances |
505 | 8 |
▼a 2.4.5 Interaction between frequency, PageRank, and ambiguity/variance -- 2.4.6 Frequency distribution for a single form or an instance -- 2.5 Analysis of system performance and data properties -- 2.5.1 Correlating system performance with form ambiguity -- 2.5.2 Correlating system performance with form frequency, instance frequency, and PageRank -- 2.5.3 Correlating system performance with ambiguity and frequency of forms jointly -- 2.5.4 Correlating system performance with frequency of instances for ambiguous forms -- 2.6 Summary of findings -- 2.7 Recommended actions -- 2.8 Conclusions |
505 | 8 |
▼a 3 Analyzing the Evaluation bias on the Long Tail of Disambiguation & Reference -- 3.1 Introduction -- 3.2 Temporal aspect of the disambiguation task -- 3.3 Related work -- 3.4 Preliminary study of EL evaluation datasets -- 3.4.1 Datasets -- 3.4.2 Dataset characteristics -- 3.4.3 Distributions of instances and surface forms -- 3.4.4 Discussion and roadmap -- 3.5 Semiotic generation and context model -- 3.6 Methodology -- 3.6.1 Metrics -- 3.6.2 Tasks -- 3.6.3 Datasets -- 3.7 Analysis -- 3.8 Proposal for improving evaluation -- 3.9 Conclusions |
505 | 8 |
▼a 4 Improving the Evaluation bias on the Long Tail of Disambiguation & Reference -- 4.1 Introduction -- 4.2 Motivation & target communities -- 4.2.1 Disambiguation & reference -- 4.2.2 Reading Comprehension & Question Answering -- 4.2.3 Moving away from semantic overfitting -- 4.3 Task requirements -- 4.4 Methods for creating an event-based task -- 4.4.1 State of text-to-data datasets -- 4.4.2 From data to text -- 4.5 Data & resources -- 4.5.1 Structured data -- 4.5.2 Example document -- 4.5.3 Licensing & availability -- 4.6 Task design -- 4.6.1 Subtasks -- 4.6.2 Question template |
588 | 0 |
▼a Online resource; title from PDF title page (IOS Press, viewed January 14, 2020). |
590 | |
▼a Master record variable field(s) change: 050, 082, 650 |
650 | 0 |
▼a Natural language processing (Computer science) |
655 | 4 |
▼a Electronic books. |
830 | 0 |
▼a Studies on the Semantic Web ;
▼v v. 043. |
856 | 40 |
▼3 EBSCOhost
▼u https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=2345980 |
938 | |
▼a ProQuest Ebook Central
▼b EBLB
▼n EBL6006555 |
938 | |
▼a EBSCOhost
▼b EBSC
▼n 2345980 |
990 | |
▼a 관리자 |
994 | |
▼a 92
▼b N$T |