Open Access. Powered by Scholars. Published by Universities.®
- Discipline
- Institution
- Keyword
-
- Computational Linguistics (2)
- Dialogue (2)
- Human-Computer Interaction (2)
- Natural Language Processing (2)
- Sensor Errors (2)
-
- Situated Dialogue (2)
- Affixation (1)
- Avatar (1)
- Computational linguistics (1)
- Corpus Linguistics (1)
- Czech (1)
- Dialogue Systems (1)
- Distributional Semantics (1)
- Emotion (1)
- Error annotation (1)
- Evaluation (1)
- Facial Expressions (1)
- HamNoSys (1)
- ISL (1)
- Inflectional morphology (1)
- Irish Sign Language (1)
- JASigning (1)
- Learner corpus (1)
- Machine Learning (1)
- Misunderstandings (1)
- Morphology (1)
- Paradigm Function Morphology (1)
- Perception (1)
- Second language acquisition (1)
- Sign Language Notation (1)
- Publication
- Publication Type
Articles 1 - 8 of 8
Full-Text Articles in Computational Linguistics
An Empirical Study Of Semantic Similarity In Wordnet And Word2vec, Abram Handler
An Empirical Study Of Semantic Similarity In Wordnet And Word2vec, Abram Handler
LSU New Orleans Theses and Dissertations
This thesis performs an empirical analysis of Word2Vec by comparing its output to WordNet, a well-known, human-curated lexical database. It finds that Word2Vec tends to uncover more of certain types of semantic relations than others -- with Word2Vec returning more hypernyms, synonomyns and hyponyms than hyponyms or holonyms. It also shows the probability that neighbors separated by a given cosine distance in Word2Vec are semantically related in WordNet. This result both adds to our understanding of the still-unknown Word2Vec and helps to benchmark new semantic tools built from word vectors.
The Role Of Emotion And Facial Expression In Synthesised Sign Language Avatars, Robert G Smith
The Role Of Emotion And Facial Expression In Synthesised Sign Language Avatars, Robert G Smith
Other Resources
This thesis explores the role that underlying emotional facial expressions might have in regards to understandability in sign language avatars. Focusing specifically on Irish Sign Language (ISL), we examine the Deaf community’s requirement for a visual-gestural language as well as some linguistic attributes of ISL which we consider fundamental to this research. Unlike spoken language, visual-gestural languages such as ISL have no standard written representation. Given this, we compare current methods of written representation for signed languages as we consider: which, if any, is the most suitable transcription method for the medical receptionist dialogue corpus. A growing body of work …
The Effect Of Sensor Errors In Situated Human-Computer Dialogue, Niels Schütte, John D. Kelleher, Brian Mac Namee
The Effect Of Sensor Errors In Situated Human-Computer Dialogue, Niels Schütte, John D. Kelleher, Brian Mac Namee
Conference papers
Errors in perception are a problem for computer systems that use sensors to perceive the environment. If a computer system is engaged in dialogue with a human user, these problems in perception lead to problems in the dialogue. We present two experiments, one in which participants interact through dialogue with a robot with perfect perception to fulfil a simple task, and a second one in which the robot is affected by sensor errors and compare the resulting dialogues to determine whether the sensor problems have an impact on dialogue success.
Predicting Music Genre Preferences Based On Online Comments, Andrew J. Sinclair
Predicting Music Genre Preferences Based On Online Comments, Andrew J. Sinclair
Master's Theses
Communication Accommodation Theory (CAT) states that individuals adapt to each other’s communicative behaviors. This adaptation is called “convergence.” In this work we explore the convergence of writing styles of users of the online music distribution plat- form SoundCloud.com. In order to evaluate our system we created a corpus of over 38,000 comments retrieved from SoundCloud in April 2014. The corpus represents comments from 8 distinct musical genres: Classical, Electronic, Hip Hop, Jazz, Country, Metal, Folk, and World. Our corpus contains: short comments, frequent misspellings, little sentence struc- ture, hashtags, emoticons, and URLs. We adapt techniques used by researchers analyzing other …
Evaluating And Automating The Annotation Of A Learner Corpus, Alexandr Rosen, Jirka Hana, Barbora Stindlova, Anna Feldman
Evaluating And Automating The Annotation Of A Learner Corpus, Alexandr Rosen, Jirka Hana, Barbora Stindlova, Anna Feldman
Department of Linguistics Faculty Scholarship and Creative Works
The paper describes a corpus of texts produced by non-native speakersof Czech. We discuss its annotation scheme, consisting of three interlinked tiers,designed to handle a wide range of error types present in the input. Each tier correctsdifferent types of errors; links between the tiers allow capturing errors in word orderand complex discontinuous expressions. Errors are not only corrected, but alsoclassified. The annotation scheme is tested on a data set including approx. 175,000words with fair inter-annotator agreement results. We also explore the possibility ofapplying automated linguistic annotation tools (taggers, spell checkers and grammarcheckers) to the learner text to support or even …
Classifying Idiomatic And Literal Expressions Using Topic Models And Intensity Of Emotions, Jing Peng, Anna Feldman, Ekaterina Vylomova
Classifying Idiomatic And Literal Expressions Using Topic Models And Intensity Of Emotions, Jing Peng, Anna Feldman, Ekaterina Vylomova
Department of Computer Science Faculty Scholarship and Creative Works
We describe an algorithm for automatic classification of idiomatic and literal expressions. Our starting point is that words in a given text segment, such as a paragraph, that are highranking representatives of a common topic of discussion are less likely to be a part of an idiomatic expression. Our additional hypothesis is that contexts in which idioms occur, typically, are more affective and therefore, we incorporate a simple analysis of the intensity of the emotions expressed by the contexts. We investigate the bag of words topic representation of one to three paragraphs containing an expression that should be classified as …
Position Class Preclusion: A Computational Resolution Of Mutually Exclusive Affix Positions, Rebecca O. Hale
Position Class Preclusion: A Computational Resolution Of Mutually Exclusive Affix Positions, Rebecca O. Hale
Theses and Dissertations--Linguistics
In Paradigm Function Morphology, it is usual to model affix position classes with an ordered sequence of inflectional rule blocks. Each rule block determines how (or whether) a particular affix position is filled. In this model, competition among inflectional rules is assumed to be limited to members of the same rule block; thus, the appearance of an affix in one position cannot be precluded by the appearance of an affix in another position. I present evidence that apparently disconfirms this restriction and suggests that a more general conception of rule competition is necessary. The data appear to imply that an …
Perception Based Misunderstandings In Human-Computer Dialogues, Niels Schütte, John D. Kelleher, Brian Mac Namee
Perception Based Misunderstandings In Human-Computer Dialogues, Niels Schütte, John D. Kelleher, Brian Mac Namee
Articles
In a situated dialogue, misunderstandings may arise if the participants perceive or interpret the environment in different ways. In human-computer dialogue this may be due the sensor errors. We present an experiment system and a series of experiments in which we investigate this problem.