Part-Of-Speech Tagging
Part-of-speech tagging (POS tagging) is the task of tagging a word in a text with its part of speech. A part of speech is a category of words with similar grammatical properties. Common English parts of speech are noun, verb, adjective, adverb, pronoun, preposition, conjunction, etc.
Example:
| Vinken | , | 61 | years | old | | --- | ---| --- | --- | --- | | NNP | , | CD | NNS | JJ |
Papers
Showing 1–10 of 990 papers
All datasetsPenn TreebankUDRitterUD2.5 testARKTweebankSocial mediaANTILLESDaNEFrench GSDMorphosyntactic-analysis-datasetParTUT
Benchmark Results
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | SALE-BART encoder | Accuracy | 98.15 | — | Unverified |
| 2 | Meta BiLSTM | Accuracy | 97.96 | — | Unverified |
| 3 | Flair embeddings | Accuracy | 97.85 | — | Unverified |
| 4 | Char Bi-LSTM | Accuracy | 97.78 | — | Unverified |
| 5 | CVT + Multi-task | Accuracy | 97.76 | — | Unverified |
| 6 | SpanRel | Accuracy | 97.7 | — | Unverified |
| 7 | BiLSTM-LAN | Accuracy | 97.65 | — | Unverified |
| 8 | Adversarial Bi-LSTM | Accuracy | 97.59 | — | Unverified |
| 9 | IntNet + BiLSTM-CRF | Accuracy | 97.58 | — | Unverified |
| 10 | S-LSTM | Accuracy | 97.55 | — | Unverified |
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | BiLSTM-LAN | Avg accuracy | 96.88 | — | Unverified |
| 2 | Adversarial Bi-LSTM | Avg accuracy | 96.65 | — | Unverified |
| 3 | MultiBPEmb | Avg accuracy | 96.62 | — | Unverified |
| 4 | Bi-LSTM | Avg accuracy | 96.4 | — | Unverified |
| 5 | Joint Bi-LSTM | Avg accuracy | 95.55 | — | Unverified |
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | ACE | Acc | 94.4 | — | Unverified |
| 2 | Owoputi et al., 2013 | Acc | 93.2 | — | Unverified |
| 3 | Gui et al., 2018 | Acc | 92.4 | — | Unverified |
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | PretRand | Accuracy | 91.46 | — | Unverified |
| 2 | GATE | Accuracy | 88.69 | — | Unverified |
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | Bi-LSTM-CRF + Flair Embeddings + CamemBERT (oscar−138gb−base) Embeddings | Weighted Average F1-score | 97.98 | — | Unverified |
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | da_dacy_large_tft-0.0.0 | Accuracy (%) | 98.37 | — | Unverified |
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | CamemBERT | UPOS | 98.19 | — | Unverified |
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | MyBert | BLEX | 77.21 | — | Unverified |
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | CamemBERT | UPOS | 97.63 | — | Unverified |
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | CamemBERT | UPOS | 99.21 | — | Unverified |
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | CamemBERT | UPOS | 96.68 | — | Unverified |
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | mGPT | Avg. F1 | 0.56 | — | Unverified |