Внутренняя оценка

metric ID: intrinsicevaluation

Related Papers

Going Beyond AER: An Extensive Analysis of Word Alignments and Their Impact on MT

Authors: nan

Publication: TIPSTER (2006)

DOI: nan

This paper presents an extensive evalua- tion of five different alignments and in- vestigates their impact on the correspond- ing MT system output. We introduce new measures for intrinsic evaluations …...

6852

Generating Fine-Grained Reviews of Songs from Album Reviews

Authors: nan

Publication: TIPSTER (2010)

DOI: nan

Music Recommendation Systems often recommend individual songs, as opposed to entire albums. The challenge is to gen- erate reviews for each song, since only full album reviews are available on-line. …...

36088

Evaluating language understanding accuracy with respect to objective outcomes in a dialogue system

Authors: nan

Publication: TIPSTER (2012)

DOI: nan

It is not always clear how the differences in intrinsic evaluation metrics for a parser or classifier will affect the performance of the system that uses it. We investigate the …...

43679

Intrinsic Subspace Evaluation of Word Embedding Representations

Authors: nan

Publication: TIPSTER (2016)

DOI: nan

We introduce a new methodology for in- trinsic evaluation of word representations. Specifically, we identify four fundamen- tal criteria based on the characteristics of natural language that pose difficulties to …...

40575

Modeling topic dependencies in semantically coherent text spans with copulas

Authors: nan

Publication: TIPSTER (2016)

DOI: nan

AbstractThe exchangeability assumption in topic models like Latent Dirichlet Allocation (LDA) often results in inferring inconsistent topics for the words of text spans like noun-phrases, which are usually expected to …...

4450

Task-Oriented Intrinsic Evaluation of Semantic Textual Similarity

Authors: nan

Publication: TIPSTER (2016)

DOI: nan

AbstractSemantic Textual Similarity (STS) is a foundational NLP task and can be used in a wide range of tasks. To determine the STS of two texts, hundreds of different STS …...

4606

Denoising Neural Machine Translation Training with Trusted Data and Online Data Selection

Authors: nan

Publication: TIPSTER (2018)

DOI: nan

AbstractMeasuring domain relevance of data and identifying or selecting well-fit domain data for machine translation (MT) is a well-studied topic, but denoising is not yet. Denoising is concerned with a …...

27844

Uncovering Divergent Linguistic Information in Word Embeddings with Lessons for Intrinsic and Extrinsic Evaluation

Authors: nan

Publication: TIPSTER (2018)

DOI: nan

AbstractFollowing the recent success of word embeddings, it has been argued that there is no such thing as an ideal representation for words, as different models tend to capture divergent …...

41915

What’s in Your Embedding, And How It Predicts Task Performance

Authors: nan

Publication: TIPSTER (2018)

DOI: nan

AbstractAttempts to find a single technique for general-purpose intrinsic evaluation of word embeddings have so far not been successful. We present a new approach based on scaled-up qualitative analysis of …...

5291

Interpreting Pretrained Contextualized Representations via Reductions to Static Embeddings

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractContextualized representations (e.g. ELMo, BERT) have become the default pretrained representations for downstream NLP applications. In some settings, this transition has rendered their static embedding predecessors (e.g. Word2Vec, GloVe) obsolete. …...

37599

Word Embedding Evaluation for Sinhala

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractThis paper presents the first ever comprehensive evaluation of different types of word embeddings for Sinhala language. Three standard word embedding models, namely, Word2Vec (both Skipgram and CBOW), FastText, and …...

15346

Generating An Optimal Interview Question Plan Using A Knowledge Graph And Integer Linear Programming

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

AbstractGiven the diversity of the candidates and complexity of job requirements, and since interviewing is an inherently subjective process, it is an important task to ensure consistent, uniform, efficient and …...

21713