Search Results for author:
Found 25 papers, 3 papers with code
PerSHOP -- A Persian dataset for shopping dialogue systems modeling
In this paper, we developed a dataset of dialogues in the Persian language through crowd-sourcing.
Persian Typographical Error Type Detection Using Deep Neural Networks on Algorithmically-Generated Misspellings
Therefore, this paper presents a compelling approach for detecting typographical errors in Persian texts.
Mismatching-Aware Unsupervised Translation Quality Estimation For Low-Resource Languages
Translation Quality Estimation (QE) is the task of predicting the quality of machine translation (MT) output without any reference.
Pruned Graph Neural Network for Short Story Ordering
We propose a new method for constructing sentence-entity graphs of short stories to create the edges between sentences and reduce noise in our graph by replacing the pronouns with their referring entities.
A New Sentence Ordering Method Using BERT Pretrained Model
An essential component of NLU is to detect logical succession of events contained in a text.
NLP-IIS@UT at SemEval-2021 Task 4: Machine Reading Comprehension using the Long Document Transformer
This paper presents a technical report of our submission to the 4th task of SemEval-2021, titled: Reading Comprehension of Abstract Meaning.
Cross-Lingual Adaptation Using Universal Dependencies
In this paper, we show that models trained using UD parse trees for complex NLP tasks can characterize very different languages.
NSURL-2019 Task 7: Named Entity Recognition (NER) in Farsi
NSURL-2019 Task 7 focuses on Named Entity Recognition (NER) in Farsi.
LICD: A Language-Independent Approach for Aspect Category Detection
For a given sentence, our proposed method performs ACD based on two hypotheses: First, a category should be assigned to a sentence if there is a high semantic similarity between the sentence and a set of representative words of that category.
Aspect-Based Sentiment Analysis
Aspect-Based Sentiment Analysis (ABSA)
+6
Aspect Category Detection via Topic-Attention Network
In this paper, we propose a deep neural network method based on attention mechanism to identify different aspect categories of a given review sentence.
Aspect-Based Sentiment Analysis
Aspect-Based Sentiment Analysis (ABSA)
+2
An Unsupervised Approach for Aspect Category Detection Using Soft Cosine Similarity Measure
Besides, most of these supervised methods require feature engineering to perform well.
Aspect-Based Sentiment Analysis
Aspect-Based Sentiment Analysis (ABSA)
+3
PEYMA: A Tagged Corpus for Persian Named Entities
The goal in the NER task is to classify proper nouns of a text into classes such as person, location, and organization.
Persian Wordnet Construction using Supervised Learning
This paper presents an automated supervised method for Persian wordnet construction.
Improving Word Alignment of Rare Words with Word Embeddings
We address the problem of inducing word alignment for language pairs by developing an unsupervised model with the capability of getting applied to other generative alignment models.
Dimension Projection among Languages based on Pseudo-relevant Documents for Query Translation
Using top-ranked documents in response to a query has been shown to be an effective approach to improve the quality of query translation in dictionary-based cross-language information retrieval.
SS4MCT: A Statistical Stemmer for Morphologically Complex Texts
Stemming is a common approach to this end.
A Probabilistic Translation Method for Dictionary-based Cross-lingual Information Retrieval in Agglutinative Languages
Translation ambiguity, out of vocabulary words and missing some translations in bilingual dictionaries make dictionary-based Cross-language Information Retrieval (CLIR) a challenging task.
Learning to Exploit Different Translation Resources for Cross Language Information Retrieval
To evaluate the proposed method we do English-Persian CLIR, in which we employ the translation ranking model to find translations of English queries and employ the translations to retrieve Persian documents.
