Type | peer-reviewed conference proceedings, published |

Publisher | Association for Computational Linguistics |

Disciplines | Computer Science Linguistics Machine Learning |

Papers published in *Proc. ACL 2014* frequently mention these topics.

- 35 papers (16%) mention
- language model

- 28 papers (13%) mention
- BLEU

- 24 papers (11%) mention
- treebank

- 24 papers (11%) mention
- machine translation

- 23 papers (11%) mention
- POS tags

- 22 papers (10%) mention
- SVM

- 21 papers (10%) mention
- dependency parsing

- 19 papers (9%) mention
- embeddings

- 19 papers (9%) mention
- parse tree

- 18 papers (8%) mention
- topic models

- 18 papers (8%) mention
- unigram

- 18 papers (8%) mention
- bigram

- 18 papers (8%) mention
- knowledge base

- 17 papers (8%) mention
- WordNet

- 17 papers (8%) mention
- semantic relations

- 17 papers (8%) mention
- natural language

- 17 papers (8%) mention
- development set

- 16 papers (7%) mention
- neural network

- 16 papers (7%) mention
- word embeddings

- 16 papers (7%) mention
- translation model

- 16 papers (7%) mention
- semi-supervised

- 15 papers (7%) mention
- named entity

- 15 papers (7%) mention
- n-gram

- 15 papers (7%) mention
- log-linear

- 15 papers (7%) mention
- co-occurrence

- 15 papers (7%) mention
- objective function

- 14 papers (6%) mention
- relation extraction

- 14 papers (6%) mention
- feature set

- 13 papers (6%) mention
- LDA

- 13 papers (6%) mention
- word alignment

- 13 papers (6%) mention
- dependency trees

- 13 papers (6%) mention
- Shared Task

- 13 papers (6%) mention
- learning algorithm

- 12 papers (5%) mention
- coreference

- 12 papers (5%) mention
- sentiment analysis

- 12 papers (5%) mention
- sentence-level

- 12 papers (5%) mention
- semantic similarity

- 12 papers (5%) mention
- NIST

- 12 papers (5%) mention
- semantic representations

- 12 papers (5%) mention
- vector representations

- 12 papers (5%) mention
- logistic regression

- 12 papers (5%) mention
- subtrees

- 12 papers (5%) mention
- gold standard

- 12 papers (5%) mention
- latent variables

- 11 papers (5%) mention
- synsets

- 11 papers (5%) mention
- labeled data

- 11 papers (5%) mention
- F-score

- 11 papers (5%) mention
- feature vector

- 11 papers (5%) mention
- statistically significant

- 10 papers (4%) mention
- unlabeled data

- 10 papers (4%) mention
- semantic role

- 10 papers (4%) mention
- sentence pairs

- 10 papers (4%) mention
- LM

- 10 papers (4%) mention
- BLEU scores

- 10 papers (4%) mention
- Gibbs sampling

- 10 papers (4%) mention
- n-grams

- 10 papers (4%) mention
- SMT system

- 10 papers (4%) mention
- significant improvements

- 10 papers (4%) mention
- manually annotated

- 9 papers (4%) mention
- word segmentation

- 9 papers (4%) mention
- semantic parsing

- 9 papers (4%) mention
- recursive

- 9 papers (4%) mention
- phrase pair

- 9 papers (4%) mention
- hidden layer

- 9 papers (4%) mention
- cross-lingual

- 9 papers (4%) mention
- MaxEnt

- 9 papers (4%) mention
- phrase-based

- 9 papers (4%) mention
- distant supervision

- 9 papers (4%) mention
- language pairs

- 9 papers (4%) mention
- cosine similarity

- 8 papers (3%) mention
- reranking

- 8 papers (3%) mention
- tree kernel

- 8 papers (3%) mention
- CRF

- 8 papers (3%) mention
- parallel data

- 8 papers (3%) mention
- Viterbi

- 8 papers (3%) mention
- social media

- 8 papers (3%) mention
- entity type

- 8 papers (3%) mention
- feature weights

- 8 papers (3%) mention
- gold-standard

- 8 papers (3%) mention
- F-measure

- 8 papers (3%) mention
- syntactic parsing

- 8 papers (3%) mention
- evaluation metrics

- 8 papers (3%) mention
- baseline system

- 8 papers (3%) mention
- similarity score

- 8 papers (3%) mention
- vector space

- 8 papers (3%) mention
- bag-of-words

- 8 papers (3%) mention
- model training

- 8 papers (3%) mention
- topic distribution

- 8 papers (3%) mention
- Mechanical Turk

- 8 papers (3%) mention
- translation system

- 8 papers (3%) mention
- log-linear model

- 8 papers (3%) mention
- best results

- 8 papers (3%) mention
- significantly outperforms

- 7 papers (3%) mention
- logical forms

- 7 papers (3%) mention
- sentiment classification

- 7 papers (3%) mention
- entity mentions

- 7 papers (3%) mention
- TER

- 7 papers (3%) mention
- perceptron

- 7 papers (3%) mention
- human judgements

- 7 papers (3%) mention
- word-level

- 7 papers (3%) mention
- Chinese word

- 7 papers (3%) mention
- semantic space

- 7 papers (3%) mention
- in-domain

- 7 papers (3%) mention
- similarity measure

- 7 papers (3%) mention
- joint model

- 7 papers (3%) mention
- regression model

- 7 papers (3%) mention
- distributional semantics

- 7 papers (3%) mention
- role labeling

- 7 papers (3%) mention
- coreference resolution

- 7 papers (3%) mention
- confidence score

- 7 papers (3%) mention
- content words

- 7 papers (3%) mention
- semantic role labeling

- 7 papers (3%) mention
- meaning representations

- 7 papers (3%) mention
- part-of-speech

- 7 papers (3%) mention
- translation quality

- 7 papers (3%) mention
- classification task

- 7 papers (3%) mention
- fine-grained

- 7 papers (3%) mention
- end-to-end

- 7 papers (3%) mention
- F1 score

- 7 papers (3%) mention
- error rate

- 6 papers (2%) mention
- EDUs

- 6 papers (2%) mention
- CCG

- 6 papers (2%) mention
- sentiment lexicons

- 6 papers (2%) mention
- IME

- 6 papers (2%) mention
- MT system

- 6 papers (2%) mention
- constituent parsing

- 6 papers (2%) mention
- Turkers

- 6 papers (2%) mention
- relation instances

- 6 papers (2%) mention
- graph model

- 6 papers (2%) mention
- domain adaptation

- 6 papers (2%) mention
- parsing model

- 6 papers (2%) mention
- CoNLL

- 6 papers (2%) mention
- Berkeley parser

- 6 papers (2%) mention
- segmentations

- 6 papers (2%) mention
- UAS

- 6 papers (2%) mention
- lexical semantic

- 6 papers (2%) mention
- edit distance

- 6 papers (2%) mention
- graph-based

- 6 papers (2%) mention
- distributional representations

- 6 papers (2%) mention
- word representations

- 6 papers (2%) mention
- SVD

- 6 papers (2%) mention
- feature templates

- 6 papers (2%) mention
- Chinese-English

- 6 papers (2%) mention
- ground truth

- 6 papers (2%) mention
- translation probability

- 6 papers (2%) mention
- dependency relation

- 6 papers (2%) mention
- state of the art

- 6 papers (2%) mention
- lexicalized

- 6 papers (2%) mention
- model score

- 6 papers (2%) mention
- word order

- 6 papers (2%) mention
- loss function

- 6 papers (2%) mention
- hyperparameter

- 6 papers (2%) mention
- context information

- 6 papers (2%) mention
- extraction system

- 6 papers (2%) mention
- BLEU points

- 6 papers (2%) mention
- highest scoring

- 6 papers (2%) mention
- distributional similarity

- 6 papers (2%) mention
- probability distribution

- 6 papers (2%) mention
- parallel corpus

- 6 papers (2%) mention
- cross validation

- 6 papers (2%) mention
- proposed model

- 6 papers (2%) mention
- randomly sampled

- 6 papers (2%) mention
- translation task

- 6 papers (2%) mention
- iteratively

- 6 papers (2%) mention
- part-of-speech tags

- 6 papers (2%) mention
- model parameters

- 5 papers (2%) mention
- discourse parsing

- 5 papers (2%) mention
- soft constraints

- 5 papers (2%) mention
- recursive neural

- 5 papers (2%) mention
- recursive neural network

- 5 papers (2%) mention
- phrase table

- 5 papers (2%) mention
- word pairs

- 5 papers (2%) mention
- Chinese word segmentation

- 5 papers (2%) mention
- structural features

- 5 papers (2%) mention
- weight vector

- 5 papers (2%) mention
- spanning tree

- 5 papers (2%) mention
- syntactic context

- 5 papers (2%) mention
- dependency path

- 5 papers (2%) mention
- overfitting

- 5 papers (2%) mention
- morphological analyzer

- 5 papers (2%) mention
- feature space

- 5 papers (2%) mention
- precision and recall

- 5 papers (2%) mention
- Penn Treebank

- 5 papers (2%) mention
- maximum entropy

- 5 papers (2%) mention
- sense disambiguation

- 5 papers (2%) mention
- edge weight

- 5 papers (2%) mention
- discourse structure

- 5 papers (2%) mention
- optimization problem

- 5 papers (2%) mention
- machine learning

- 4 papers (1%) mention
- hypernym

- 4 papers (1%) mention
- word senses

- 4 papers (1%) mention
- segmentation model

- 4 papers (1%) mention
- ILP

- 4 papers (1%) mention
- grammar induction

- 4 papers (1%) mention
- alignment model

- 4 papers (1%) mention
- dynamic programming

- 4 papers (1%) mention
- PageRank

- 4 papers (1%) mention
- time complexity

- 4 papers (1%) mention
- linear regression

- 4 papers (1%) mention
- maximum spanning

- 4 papers (1%) mention
- parallel corpora

- 4 papers (1%) mention
- parallel sentences

- 4 papers (1%) mention
- beam search

- 4 papers (1%) mention
- data sparsity

- 4 papers (1%) mention
- news articles

- 4 papers (1%) mention
- binary classifier

- 4 papers (1%) mention
- question answering

- 4 papers (1%) mention
- human annotator

- 4 papers (1%) mention
- deep learning

- 4 papers (1%) mention
- Amazon Mechanical Turk

- 4 papers (1%) mention
- rule-based

- 4 papers (1%) mention
- beam size

- 4 papers (1%) mention
- statistical machine translation

- 4 papers (1%) mention
- generative process

- 4 papers (1%) mention
- regular expressions

- 3 papers (1%) mention
- CRFs

- 3 papers (1%) mention
- scoring function

- 3 papers (1%) mention
- sentence compression

- 3 papers (1%) mention
- manual evaluation

- 3 papers (1%) mention
- language acquisition

- 3 papers (1%) mention
- parsing algorithm

- 3 papers (1%) mention
- generative model

- 3 papers (1%) mention
- linear programming

- 3 papers (1%) mention
- probabilistic models

- 2 papers (0%) mention
- shift-reduce

- 2 papers (0%) mention
- text classification

- 2 papers (0%) mention
- clusterings

- 2 papers (0%) mention
- NER

- 2 papers (0%) mention
- conditional probability

- 2 papers (0%) mention
- sequence labeling

- 2 papers (0%) mention
- latent semantic

- 2 papers (0%) mention
- support vector