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[PDF] Top 20 Topic Models with Logical Constraints on Words

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Topic Models with Logical Constraints on Words

Topic Models with Logical Constraints on Words

... set topic size as T = ...a topic where A and B frequently occur and a topic where A and C frequently ...two topic-word probabilities ϕ ˆ and ϕ ˆ ′ , we calculate the average of Euclidian ... See full document

8

Disentangling Topic Models: A Cross cultural Analysis of Personal Values through Words

Disentangling Topic Models: A Cross cultural Analysis of Personal Values through Words

... related words in a corpus. In these frameworks, a topic can be thought of as a group of words found to be related to a higher level ...a topic is represented as a set of numbers that describe ... See full document

10

Employing Topic Models for Pattern based Semantic Class Discovery

Employing Topic Models for Pattern based Semantic Class Discovery

... of topic models to automati- cally construct semantic classes, taking as the source data a collection of raw semantic classes (RASCs), which were extracted by ap- plying predefined patterns to web ...adopt ... See full document

9

Exploring Topic Discriminating Power of Words in Latent Dirichlet Allocation

Exploring Topic Discriminating Power of Words in Latent Dirichlet Allocation

... new topic model called Term Weighting LDA ...that words with lower weights generally have weaker negative effect on results of ...Since topic-indiscriminate words negatively affect the results ... See full document

10

Aggregating Continuous Word Embeddings for Information Retrieval

Aggregating Continuous Word Embeddings for Information Retrieval

... between topic models on dis- crete word occurrences such as PLSA/LDA and the proposed model for continuous word embed- ...generative models include a latent variable which indicates which mixture ... See full document

10

Bayesian Checking for Topic Models

Bayesian Checking for Topic Models

... left topic represents for- mulaic language, language that occurs verbatim in many ...it models the boil- erplate text “Here is a selective listing by critics of The Times of new or ...in topic ... See full document

11

Polylingual Tree Based Topic Models for Translation Domain Adaptation

Polylingual Tree Based Topic Models for Translation Domain Adaptation

... encouraging words that appear together in a con- cept to have similar probabilities given a topic. These concepts can come from WordNet (Boyd- Graber and Resnik, 2010), domain experts (An- drzejewski et ... See full document

11

Polylingual Topic Models

Polylingual Topic Models

... Statistical topic models have emerged as an in- creasingly useful analysis tool for large text col- ...lections. Topic models have been used for analyz- ing topic trends in research ... See full document

10

Shared Components Topic Models

Shared Components Topic Models

... samples words from topics along that path. The SCTM models an orthogonal issue to topic hierarchy: how the topics themselves are represented as the intersection of ... See full document

10

Evaluating Topic Coherence Using Distributional Semantics

Evaluating Topic Coherence Using Distributional Semantics

... prefers words that have similar probability (high or low) within all topics and rejects words that have different probabilities across ...all words are considered likely to be difficult to ... See full document

9

Why Didn’t You Listen to Me? Comparing User Control of Human in the Loop Topic Models

Why Didn’t You Listen to Me? Comparing User Control of Human in the Loop Topic Models

... pre-trained models. The create and split topic refinement types select from the models with ten topics, ensuring that topics have overlapping categories, while the others select from the mod- els ... See full document

8

Bayesian Hidden Topic Markov Models

Bayesian Hidden Topic Markov Models

... correlated topic modeling (CTM) allows for inference on the topic correlation struc- ture to be performed, it does not allow for the evolution of topics over ...correlated topic model, re- laxes the ... See full document

120

Detecting Cross Cultural Differences Using a Multilingual Topic Model

Detecting Cross Cultural Differences Using a Multilingual Topic Model

... Recent years have seen a growing interest in text- mining applications aimed at uncovering public opinions and social trends (Fader et al., 2007; Mon- roe et al., 2008; Gerrish and Blei, 2011; Pennac- chiotti and ... See full document

14

Distributed Algorithms for Topic Models

Distributed Algorithms for Topic Models

... the topic assignments, and so the topics on each processor can not drift far from the global set of topic counts at the previous ...Fortunately, topic drifting becomes less of a problem as more ... See full document

28

A logical approach for behavioural composition of scenario based models

A logical approach for behavioural composition of scenario based models

... behavioural models at the metamodel level through exact metamodel restriction ...of logical constraints at the metamodel ...of logical constraints for each diagram and additional ... See full document

17

Representing Meaning with a Combination of Logical and Distributional Models

Representing Meaning with a Combination of Logical and Distributional Models

... As with the full data set, we see that the features based on Paperno, Pham, and Baroni do not perform as well as just the alignment-based distributional lexical features; in fact, they do not perform even as well as ... See full document

46

Crustal evolution in northwest Australia : evidence from seismic refraction data

Crustal evolution in northwest Australia : evidence from seismic refraction data

... Figure 46 was taken from Ferguson & others (1979), and is their diagrammatic crustal cross section for southeastern Australia based on lower crustal nodules from kimberlite pipes. In it, they suggest that the upper ... See full document

352

Thinking intuitively: the rich (and at times illogical) world of concepts

Thinking intuitively: the rich (and at times illogical) world of concepts

... incompatible goals. With no obvious difficulty we can use the same words to express poetic inspiration, to flatter, cajole or insult others, or to argue legal cases before a judge. However this flexibility comes ... See full document

11

Automatic Labelling of Topic Models

Automatic Labelling of Topic Models

... With topic modelling, however, the top-ranking topic terms tended to be associated and not lexically similar to one ...to topic mod- els, but it would certainly be interesting to investi- gate ... See full document

10

Sustainable urban development in tightly constrained areas: a case study of Darjeeling, India

Sustainable urban development in tightly constrained areas: a case study of Darjeeling, India

... Since the British first established Darjeeling as a “hill station” for its summer administration, it has been a focus for tourism and economic development, but there has not been a corresponding investment in ... See full document

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