| 1. |
- Amundin, Mats, et al.
(författare)
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A proposal to use distributional models to analyse dolphin vocalisation
- 2017
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Ingår i: Proceedings of the 1st International Workshop on Vocal Interactivity in-and-between Humans, Animals and Robots, VIHAR 2017. - 9782956202905 ; , s. 31-32
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Konferensbidrag (refereegranskat)abstract
- This paper gives a brief introduction to the starting points of an experimental project to study dolphin communicative behaviour using distributional semantics, with methods implemented for the large scale study of human language.
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| 2. |
- Täckström, Oscar, et al.
(författare)
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Uncertainty Detection as Approximate Max-Margin Sequence Labelling
- 2010
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Ingår i: CoNLL 2010. - : Association for Computational Linguistics. ; , s. 84-91
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Konferensbidrag (refereegranskat)abstract
- This paper reports experiments for the CoNLL 2010 shared task on learning to detect hedges and their scope in natural language text. We have addressed the experimental tasks as supervised linear maximum margin prediction problems. For sentence level hedge detection in the biological domain we use an L1-regularised binary support vector machine, while for sentence level weasel detection in the Wikipedia domain, we use an L2-regularised approach. We model the in-sentence uncertainty cue and scope detection task as an L2-regularised approximate maximum margin sequence labelling problem, using the BIO-encoding. In addition to surface level features, we use a variety of linguistic features based on a functional dependency analysis. A greedy forward selection strategy is used in exploring the large set of potential features. Our official results for Task 1 for the biological domain are 85.2 F1-score, for the Wikipedia set 55.4 F1-score. For Task 2, our official results are 2.1 for the entire task with a score of 62.5 for cue detection. After resolving errors and final bugs, our final results are for Task 1, biological: 86.0, Wikipedia: 58.2; Task 2, scopes: 39.6 and cues: 78.5.
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| 3. |
- Argaw, Atelach Alemu, et al.
(författare)
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Dictionary-based Amharic-French information retrieval
- 2006
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Ingår i: Accessing Multilingual Information Repositories. - Berlin, Heidelberg : Springer Berlin Heidelberg. - 354045697X ; , s. 83-92, s. 83-92
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Konferensbidrag (refereegranskat)abstract
- We present four approaches to the Amharic - French bilingual track at CLEF 2005. All experiments use a dictionary based approach to translate the Amharic queries into French Bags-of-words, but while one approach uses word sense discrimination on the translated side of the queries, the other one includes all senses of a translated word in the query for searching. We used two search engines: The SICS experimental engine and Lucene, hence four runs with the two approaches. Non-content bearing words were removed both before and after the dictionary lookup. TF/IDF values supplemented by a heuristic function was used to remove the stop words from the Amharic queries and two French stopwords lists were used to remove them from the French translations. In our experiments, we found that the SICS search engine performs better than Lucene and that using the word sense discriminated keywords produce a slightly better result than the full set of non discriminated keywords.
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| 4. |
- Karlgren, Jussi, et al.
(författare)
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Between Bags and Trees : Constructional Patterns in Text Used for Attitude Identification
- 2010
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Ingår i: ECIR 2010, 32nd European Conference on Information Retrieval.
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Konferensbidrag (refereegranskat)abstract
- This paper describes experiments to use non-terminological information to find attitudinal expressions in written English text. The experiments are based on an analysis of text with respect to not only the vocabulary of content terms present in it (which most other approaches use as a basis for analysis) but also with respect to presence of structural features of the text represented by constructional features (typically disregarded by most other analyses). In our analysis, following a construction grammar framework, structural features are treated as occurrences, similarly to the treatment of vocabulary features. The constructional features in play are chosen to potentially signify opinion but are not specific to negative or positive expressions. The framework is used to classify clauses, headlines, and sentences from three different shared collections of attitudinal data. We find that constructional features transfer well across different text collections and that the information couched in them integrates easily with a vocabulary based approach, yielding improvements in classification without complicating the application end of the processing framework.
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| 5. |
- Karlgren, Jussi, et al.
(författare)
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Recognizing Text Genres with Simple Metrics Using Discriminant Analysis
- 1994
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Ingår i: Proceedings of the 15th International Conference on Computational Linguistics. - Morristown, NJ, USA : Association for Computational Linguistics. ; , s. 1071-1075
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Konferensbidrag (refereegranskat)abstract
- A simple method for categorizing texts into pre-determined text genre categories using the statistical standard technique of discriminant analysis is demonstrated with application to the Brown corpus. Discriminant analysis makes it possible use a large number of parameters that may be specific for a certain corpus or information stream, and combine them into a small number of functions, with the parameters weighted on basis of how useful they are for discriminating text genres. An application to information retrieval is discussed.
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| 6. |
- Espinoza, Fredrik, et al.
(författare)
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Analysis of Open Answers to Survey Questions throughInteractive Clustering and Theme Extraction
- 2018
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Ingår i: Proceedings of Conference on Human Information Interaction & Retrieval. - New York, New York, USA : ACM Digital Library. ; , s. 317-320
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Konferensbidrag (refereegranskat)abstract
- This paper describes design principles for and the implementation of Gavagai Explorer—a new application which builds on interactive text clustering to extract themes from topically coherent text sets such as open text answers to surveys or questionnaires.An automated system is quick, consistent, and has full coverage over the study material. A system allows an analyst to analyze more answers in a given time period; provides the same initial results regardless of who does the analysis, reducing the risks of inter-rater discrepancy; and does not risk miss responses due to fatigue or boredom. These factors reduce the cost and increase the reliability of the service. The most important feature, however, is relieving the human analyst from the frustrating aspects of the coding task, freeing the effort to the central challenge of understanding themes. Gavagai Explorer is available on-line at http://explorer.gavagai.se
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| 7. |
- Höök, Kristina, et al.
(författare)
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Inferring complex plans
- 1993
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Ingår i: 1st International Workshop on Intelligent User Interfaces.
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Konferensbidrag (refereegranskat)abstract
- We examine the need for plan inference in intelligent help mechanisms. We argue that previous approaches have drawbacks that need to be overcome to make plan inference useful. Firstly, plans have to be inferred - not extracted from the users? help requests. Secondly, the plans inferred must be more than a single goal or solitary user command.
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| 8. |
- Alonso, O.a, et al.
(författare)
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Seventh workshop on exploiting semantic annotations in information retrieval (ESAIR’14)
- 2014
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Ingår i: CIKM 2014 - Proceedings of the 2014 ACM International Conference on Information and Knowledge Management. - New York, NY, USA : Association for Computing Machinery (ACM). - 9781450325981 ; , s. 2094-2095
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Konferensbidrag (refereegranskat)abstract
- There is an increasing amount of structure on the Web as a result of modern Web languages, user tagging and annotation, emerging robust NLP tools, and an ever growing volume of linked data. These meaningful, semantic, annotations hold the promise to significantly enhance information access, by enhancing the depth of analysis of today’s systems. The goal of the ESAIR’14 workshop remains to advance the general research agenda on this core problem, with an explicit focus on one of the most challenging aspects to address in the coming years. The main remaining challenge is on the user’s side-the potential of rich document annotations can only be realized if matched by more articulate queries exploiting these powerful retrieval cues-and a more dynamic approach is emerging by exploiting new forms of query autosuggest. How can the query suggestion paradigm be used to encourage searcher to articulate longer queries, with concepts and relations linking their statement of request to existing semantic models? How do entity results and social network data in "graph search" change the classic division between searchers and information and lead to extreme personalization-are you the query? How to leverage transaction logs and recommendation, and how adaptive should we make the system? What are the privacy ramifications and the UX aspects-how to not creep out users?
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| 9. |
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| 10. |
- Alonso, O., et al.
(författare)
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Foreword
- 2014
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Ingår i: ESAIR 2014 - Proceedings of the 7th International Workshop on Exploiting Semantic Annotations in Information Retrieval, co-located with CIKM 2014. - : Association for Computing Machinery (ACM).
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Konferensbidrag (refereegranskat)
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