Computational Linguistics Commons^™

Semantic Enrichment Of Text Representation With Wikipedia For Text Classification, Hiroki Yamakawa, Jing Peng, Anna Feldman

Department of Computer Science Faculty Scholarship and Creative Works

Text classification is a widely studied topic in the area of machine learning. A number of techniques have been developed to represent and classify text documents. Most of the techniques try to achieve good classification performance while taking a document only by its words (e.g. statistical analysis on word frequency and distribution patterns). One of the recent trends in text classification research is to incorporate more semantic interpretation in text classification, especially by using Wikipedia. This paper introduces a technique for incorporating the vast amount of human knowledge accumulated in Wikipedia into text representation and classification. The aim is to …

Study Of Stemming Algorithms, Savitha Kodimala

UNLV Theses, Dissertations, Professional Papers, and Capstones

Automated stemming is the process of reducing words to their roots. The stemmed words are typically used to overcome the mismatch problems associated with text searching.

In this thesis, we report on the various methods developed for stemming. In particular, we show the effectiveness of n-gram stemming methods on a collection of documents.

Visual Salience And Reference Resolution In Situated Dialogues: A Corpus-Based Evaluation., Niels Schütte, John D. Kelleher, Brian Mac Namee

Conference papers

Dialogues between humans and robots are necessarily situated and so, often, a shared visual context is present. Exophoric references are very frequent in situated dialogues, and are particularly important in the presence of a shared visual context - for example when a human is verbally guiding a tele-operated mobile robot. We present an approach to automatically resolving exophoric referring expressions in a situated dialogue based on the visual salience of possible referents. We evaluate the effectiveness of this approach and a range of different salience metrics using data from the SCARE corpus which we have augmented with visual information. The …

Situating Spatial Templates For Human-Robot Interaction, John D. Kelleher, Robert J. Ross, Brian Mac Namee, Colm Sloan

Conference papers

People often refer to objects by describing the object's spatial location relative to another object. Due to their ubiquity in situated discourse, the ability to use 'locative expressions' is fundamental to human-robot dialogue systems. A key component of this ability are computational models of spatial term semantics. These models bridge the grounding gap between spatial language and sensor data. Within the Artificial Intelligence and Robotics communities, spatial template based accounts, such as the Attention Vector Sum model (Regier and Carlson, 2001), have found considerable application in mediating situated human-machine communication (Gorniak, 2004; Brenner et a., 2007; Kelleher and Costello, 2009). …

New Trends In Automatic Assessment: Ontology Matching, Maria Mitina, Patricia Magee, John Cardiff

Conference Papers

Instant individual feedback represents a result of assessment which allows for considerable improvements in both teaching and learning. In this paper we present the application of ontology matching techniques in automatic correction of students’ answers for SQL tests, which will provide teachers with instant feedback to facilitate manual correction and marking and which they can pass to the students. Students experience many problems learning SQL due to the necessity to memorise database schemas, unclear feedback from the database engine on the execution of the query, etc. The program environment utilising the described approach is designed to solve the abovementioned problems …

Topology In Composite Spatial Terms, John D. Kelleher, Robert J. Ross

Conference papers

People often refer to objects by describing the object's spatial location relative to another object, e.g. the book on the right of the table. This type of referring expression is called a spatial locative expression. Spatial locatives have three major components: (1) the target object that is being located (the book), (2) the landmark object relative to which the target is being located (the table), and (3) the description of the spatial relationship that exists between the target and the landmark (on the right of ). In English spatial relationships are often described using spatial prepositions. The set of English …

Proceedings Of The Sixth International Natural Language Generation Conference (Inlg 2010)., John D. Kelleher, Brian Mac Namee, Ielka Van Der Sluis

Conference papers

No abstract provided.

Personal Sense And Idiolect: Combining Authorship Attribution And Opinion Analysis, Polina Panicheva, John Cardiff, Paolo Rosso

Conference Papers

Subjectivity analysis and authorship attribution are very popular areas of research. However, work in these two areas has been done separately. We believe that by combining information about subjectivity in texts and authorship, the performance of both tasks can be improved. In the paper a personalized approach to opinion mining is presented, in which the notions of personal sense and idiolect are introduced and used for polarity classification task. The results of applying the personalized approach to opinion mining are presented, confirming that the approach increases the performance of the opinion mining task. Automatic authorship attribution is further applied to …

A Computer-Aided Error Analysis Of Multi-Word Units In A Malaysian Learner English Corpus., Lee Yit Sim

Student Works (2010-2019)

This is a study on multi-word unit (MWU) errors made by Malaysian English learners. The major approaches used in the analysis of learners’ writings are: error analysis and corpus-based approach. The findings from this study reveal that learners have problems with these MWUs: modal structures , infinitive structures , ‘adjective + noun’ collocations , and connectors . An analysis of these structures shows that the common erroneous patterns in these structures can generally be categorized as ‘overgeneralization’, ‘misformation’, ‘misselection’, and ‘distortion’. The causes of such errors are both interlingual as well as intralingual. Besides these factors, this study also highlighted …